Introduction: The progressive osseous lengthening on a single site corticotomy such as described by Ilizarov is a reliable but difficult method in the treatment of limb length discrepancies. The objective of this stud...Introduction: The progressive osseous lengthening on a single site corticotomy such as described by Ilizarov is a reliable but difficult method in the treatment of limb length discrepancies. The objective of this study was to appreciate the results of the recent application of this method in a low-income country such as Senegal. Material and Method: It was a retrospective study on 32 patients among whom 19 were men (people) and 13 were women over one continuous period of 7 years. The mean age was of 19 years with extremes of 10 and 36 years. Etiologies were dominated by osteoarthritis of the hip in 77.8%, traumatic sequela in 16.7% and the aseptic osteonecrosis of femoral head in 5.6%. The average duration of treatment was of 232 days with extremes of 110 and 363 days. Results: On the anatomical plan, the average lengthening was 55.89 mm that is 12.03% of the initial length with extremes of 35 and 110 mm. The equalization, in terms of length of the members, was obtained in 33.3% of the cases. The average index of cure was of 56.29 days, six patients, which are 18.75% of the cases, complained about pain at the end of treatment and walking without crutches was possible in 83.33%. The complications, in the phase of lengthening, were either mechanics, with 5 subluxations (3 at the level of the hip and 2 at the level of the knee), or biological with 7 infections (superficial 5 and 2 deep), 2 premature consolidations and 1 bleeding. The complications in the consolidation phase were also mechanical with 32 articular stiffness, 8 plastic deformations, 7 subluxations, a fracture and a collapse of the regenerate, or biological with 8 infections among which an osteitis and bleeding. Conclusion: Despite a strong rate of complications and sometimes not reached objectives, the results of this first series of lengthening are encouraging and rich in education and do not seem to be a limiting factor for the implementation of the method in developing countries.展开更多
Leg-length discrepancy(LLD)in individuals experiencing total hip arthroplasty(THA)is related to a substantially higher fall risk,length of post-operative hospital in-patient stay,elevated implant-related adverse event...Leg-length discrepancy(LLD)in individuals experiencing total hip arthroplasty(THA)is related to a substantially higher fall risk,length of post-operative hospital in-patient stay,elevated implant-related adverse events,and earlier revision.Therefore,it is essential to try to avoid LLD when implanting a THA.Several studies focus on this issue,including the following:Accelerometer-based portable navigation system,preoperative digital templating,robot-assisted surgery,the anatomical marker positioning method(shoulder-to-shoulder)and the artificial intelligence-based three-dimensional planning software system.The aforementioned methods should be familiar to surgeons who perform THA procedures,as a fundamental objective of this surgical intervention is to avoid LLD.展开更多
BACKGROUND Leg length discrepancy(LLD)following total hip arthroplasty(THA)is a common complaint,leading to decreased patient satisfaction.However,the effect of LLD before THA on outcomes and complications is not well...BACKGROUND Leg length discrepancy(LLD)following total hip arthroplasty(THA)is a common complaint,leading to decreased patient satisfaction.However,the effect of LLD before THA on outcomes and complications is not well defined.AIM To assess the effect of prior LLD on rates of falls,implant-related complications,stay length,readmissions,and implant survival following THA.METHODS A retrospective review of a nationwide insurance database was conducted from 2010 to 2021.All cases of THA and those with a prior diagnosis of LLD were identified.THA patients with LLD were matched to control patients 1:5 based on demographic and comorbidity profiles.Two-year fall rates and implant complications,lengths of stay,90-day readmissions,and time to revision were compared between cohorts.RESULTS A total of 2038 patients with LLD were matched to 10165 control patients.The LLD group showed significantly greater rates of falls[odds ratio(OR)=1.58;95%confidence interval(95%CI):1.24-2.01],dislocation(OR=2.61;95%CI:2.10-3.24),mechanical loosening(OR=4.58;95%CI:3.28-6.29),and periprosthetic fracture(OR=2.70;95%CI:1.96-3.72)compared to the control group(all P<0.001).Mean length of stay(LOS)was also significantly higher in the LLD group(3.1 days vs 2.8 days,P=0.034).No significant difference in 90-day readmission rates(7.75%vs 7.02%,P=0.244)was observed between the groups(P=0.244).Time to revision was significantly less in the LLD group(225 days vs 544 days,P<0.001).CONCLUSION LLD in patients having THA is related with significantly higher fall risk,rates of implant-related complications,LOS,and quicker time to revision.Identifying patients with LLD before their THA may help in identifying risks,better patient counselling,and more effective preoperative planning.However,the study have important limitations:Its design lacks information on the degree and cause of LLD,the time between diagnosis and surgery,and which leg with the discrepancy underwent the operation.Future well-designed studies should confirm the findings of this study.展开更多
Finding suitable initial noise that retains the original image’s information is crucial for image-to-image(I2I)translation using text-to-image(T2I)diffusion models.A common approach is to add random noise directly to...Finding suitable initial noise that retains the original image’s information is crucial for image-to-image(I2I)translation using text-to-image(T2I)diffusion models.A common approach is to add random noise directly to the original image,as in SDEdit.However,we have observed that this can result in“semantic discrepancy”issues,wherein T2I diffusion models misinterpret the semantic relationships and generate content not present in the original image.We identify that the noise introduced by SDEdit disrupts the semantic integrity of the image,leading to unintended associations between unrelated regions after U-Net upsampling.Building on the widely-used latent diffusion model,Stable Diffusion,we propose a training-free,plugand-play method to alleviate semantic discrepancy and enhance the fidelity of the translated image.By leveraging the deterministic nature of denoising diffusion implicit models(DDIMs)inversion,we correct the erroneous features and correlations from the original generative process with accurate ones from DDIM inversion.This approach alleviates semantic discrepancy and surpasses recent DDIM-inversion-based methods such as PnP with fewer priors,achieving a speedup of 11.2 times in experiments conducted on COCO,ImageNet,and ImageNet-R datasets across multiple I2I translation tasks.展开更多
The synonymous codon usage in the translational initiation and termination regions of genes of severe acute respiratory syndrome (SARS) coronavirus and five other viruses in Coronaviridae was systematically analyzed.T...The synonymous codon usage in the translational initiation and termination regions of genes of severe acute respiratory syndrome (SARS) coronavirus and five other viruses in Coronaviridae was systematically analyzed.The results indicate that most minor codons for these coronaviruses are preferentially used in the initial and terminal region.The minor codons preferentially used in the initial region are thought to have a negative effect on gene expression,which can be explained by the minor codon modulator hypothesis.It also indicates that the minor codons preferentially used in the terminal region may regulate the level of gene expression.The proposed results strongly imply that the minor codon modulator hypothesis can be applied to both some bacteria and some viruses.展开更多
Domain adaptation aims to reduce the distribution gap between the training data(source domain)and the target data.This enables effective predictions even for domains not seen during training.However,most conventional ...Domain adaptation aims to reduce the distribution gap between the training data(source domain)and the target data.This enables effective predictions even for domains not seen during training.However,most conventional domain adaptation methods assume a single source domain,making them less suitable for modern deep learning settings that rely on diverse and large-scale datasets.To address this limitation,recent research has focused on Multi-Source Domain Adaptation(MSDA),which aims to learn effectively from multiple source domains.In this paper,we propose Efficient Domain Transition for Multi-source(EDTM),a novel and efficient framework designed to tackle two major challenges in existing MSDA approaches:(1)integrating knowledge across different source domains and(2)aligning label distributions between source and target domains.EDTM leverages an ensemble-based classifier expert mechanism to enhance the contribution of source domains that are more similar to the target domain.To further stabilize the learning process and improve performance,we incorporate imitation learning into the training of the target model.In addition,Maximum Classifier Discrepancy(MCD)is employed to align class-wise label distributions between the source and target domains.Experiments were conducted using Digits-Five,one of the most representative benchmark datasets for MSDA.The results show that EDTM consistently outperforms existing methods in terms of average classification accuracy.Notably,EDTM achieved significantly higher performance on target domains such as Modified National Institute of Standards and Technolog with blended background images(MNIST-M)and Street View House Numbers(SVHN)datasets,demonstrating enhanced generalization compared to baseline approaches.Furthermore,an ablation study analyzing the contribution of each loss component validated the effectiveness of the framework,highlighting the importance of each module in achieving optimal performance.展开更多
The paper investigates how group work was implemented in English teaching classrooms in a junior high school of China's Mainland as a case study. The research data was collected by classroom observations, a survey...The paper investigates how group work was implemented in English teaching classrooms in a junior high school of China's Mainland as a case study. The research data was collected by classroom observations, a survey of the students and interviews with the classroom teachers. The research finds a mismatch between an advocacy of group work and the reality of its poor implementation. It has implications on English curriculum innovation and the advocacy of group work in ELT classrooms in China's Mainland.展开更多
To investigate the clinicopathological variables in early gastric cancer (EGC) patients in relation to differentiation discrepancy. METHODSThe data of 265 specimens from 240 patients with EGC, who had undergone radica...To investigate the clinicopathological variables in early gastric cancer (EGC) patients in relation to differentiation discrepancy. METHODSThe data of 265 specimens from 240 patients with EGC, who had undergone radical operation at Hallym University Sacred Heart Hospital from 2010 to 2015, were retrospectively analyzed. We evaluated clinical, endoscopic, and histopathological data according to histological discrepancy. RESULTSClinically significant discrepancy rate showed the difference in differentiated type (well and moderately differentiated) and undifferentiated type (poorly differentiated and signet ring cell) between endoscopic biopsies and postoperative specimens was 9.4% (25/265). There were no differences in tumor location, size, gross pattern, and number of biopsies. Specimens having histological discrepancy showed more submucosal invasion (72.0% vs 49.6%, P = 0.033) and lymph node involvement (24.0% vs 7.9%, P = 0.009) than specimens having non-discrepancy. The rate of a positive epidermal growth factor receptor status was higher in specimens having discrepancy than in specimens having non-discrepancy (81.0% vs 55.4%, P = 0.035). CONCLUSIONThe discordance of histologic differentiation is associated with higher submucosal invasion and lymph node metastases in EGC. Patients have histological discrepancy may require additional surgical treatments.展开更多
The objective of this paper is to study the issue of uniformity on asymmetrical designs with two and three mixed levels in terms of Lee discrepancy. Based on the known formulation, we present a new lower bound of Lee ...The objective of this paper is to study the issue of uniformity on asymmetrical designs with two and three mixed levels in terms of Lee discrepancy. Based on the known formulation, we present a new lower bound of Lee discrepancy of fractional factorial designs with two and three mixed levels. Our new lower bound is sharper and more valid than other existing lower bounds in literature, which is a useful complement to the lower bound theory of discrepancies.展开更多
Doubling is a simple but powerful method of constructing two-level tractional factorial designs with high resolution. This article studies uniformity in terms of Lee discrepancy of double designs. We give some linkage...Doubling is a simple but powerful method of constructing two-level tractional factorial designs with high resolution. This article studies uniformity in terms of Lee discrepancy of double designs. We give some linkages between the uniformity of double design and the aberration case of the original one under different criteria. Furthermore, some analytic linkages between the generalized wordlength pattern of double design and that of the original one are firstly provided here, which extend the existing findings. The lower bound of Lee discrepancy for double designs is also given.展开更多
文摘Introduction: The progressive osseous lengthening on a single site corticotomy such as described by Ilizarov is a reliable but difficult method in the treatment of limb length discrepancies. The objective of this study was to appreciate the results of the recent application of this method in a low-income country such as Senegal. Material and Method: It was a retrospective study on 32 patients among whom 19 were men (people) and 13 were women over one continuous period of 7 years. The mean age was of 19 years with extremes of 10 and 36 years. Etiologies were dominated by osteoarthritis of the hip in 77.8%, traumatic sequela in 16.7% and the aseptic osteonecrosis of femoral head in 5.6%. The average duration of treatment was of 232 days with extremes of 110 and 363 days. Results: On the anatomical plan, the average lengthening was 55.89 mm that is 12.03% of the initial length with extremes of 35 and 110 mm. The equalization, in terms of length of the members, was obtained in 33.3% of the cases. The average index of cure was of 56.29 days, six patients, which are 18.75% of the cases, complained about pain at the end of treatment and walking without crutches was possible in 83.33%. The complications, in the phase of lengthening, were either mechanics, with 5 subluxations (3 at the level of the hip and 2 at the level of the knee), or biological with 7 infections (superficial 5 and 2 deep), 2 premature consolidations and 1 bleeding. The complications in the consolidation phase were also mechanical with 32 articular stiffness, 8 plastic deformations, 7 subluxations, a fracture and a collapse of the regenerate, or biological with 8 infections among which an osteitis and bleeding. Conclusion: Despite a strong rate of complications and sometimes not reached objectives, the results of this first series of lengthening are encouraging and rich in education and do not seem to be a limiting factor for the implementation of the method in developing countries.
文摘Leg-length discrepancy(LLD)in individuals experiencing total hip arthroplasty(THA)is related to a substantially higher fall risk,length of post-operative hospital in-patient stay,elevated implant-related adverse events,and earlier revision.Therefore,it is essential to try to avoid LLD when implanting a THA.Several studies focus on this issue,including the following:Accelerometer-based portable navigation system,preoperative digital templating,robot-assisted surgery,the anatomical marker positioning method(shoulder-to-shoulder)and the artificial intelligence-based three-dimensional planning software system.The aforementioned methods should be familiar to surgeons who perform THA procedures,as a fundamental objective of this surgical intervention is to avoid LLD.
文摘BACKGROUND Leg length discrepancy(LLD)following total hip arthroplasty(THA)is a common complaint,leading to decreased patient satisfaction.However,the effect of LLD before THA on outcomes and complications is not well defined.AIM To assess the effect of prior LLD on rates of falls,implant-related complications,stay length,readmissions,and implant survival following THA.METHODS A retrospective review of a nationwide insurance database was conducted from 2010 to 2021.All cases of THA and those with a prior diagnosis of LLD were identified.THA patients with LLD were matched to control patients 1:5 based on demographic and comorbidity profiles.Two-year fall rates and implant complications,lengths of stay,90-day readmissions,and time to revision were compared between cohorts.RESULTS A total of 2038 patients with LLD were matched to 10165 control patients.The LLD group showed significantly greater rates of falls[odds ratio(OR)=1.58;95%confidence interval(95%CI):1.24-2.01],dislocation(OR=2.61;95%CI:2.10-3.24),mechanical loosening(OR=4.58;95%CI:3.28-6.29),and periprosthetic fracture(OR=2.70;95%CI:1.96-3.72)compared to the control group(all P<0.001).Mean length of stay(LOS)was also significantly higher in the LLD group(3.1 days vs 2.8 days,P=0.034).No significant difference in 90-day readmission rates(7.75%vs 7.02%,P=0.244)was observed between the groups(P=0.244).Time to revision was significantly less in the LLD group(225 days vs 544 days,P<0.001).CONCLUSION LLD in patients having THA is related with significantly higher fall risk,rates of implant-related complications,LOS,and quicker time to revision.Identifying patients with LLD before their THA may help in identifying risks,better patient counselling,and more effective preoperative planning.However,the study have important limitations:Its design lacks information on the degree and cause of LLD,the time between diagnosis and surgery,and which leg with the discrepancy underwent the operation.Future well-designed studies should confirm the findings of this study.
基金supported in part by the National Natural Science Foundation of China(62176059)supported by The Pennsylvania State University.
文摘Finding suitable initial noise that retains the original image’s information is crucial for image-to-image(I2I)translation using text-to-image(T2I)diffusion models.A common approach is to add random noise directly to the original image,as in SDEdit.However,we have observed that this can result in“semantic discrepancy”issues,wherein T2I diffusion models misinterpret the semantic relationships and generate content not present in the original image.We identify that the noise introduced by SDEdit disrupts the semantic integrity of the image,leading to unintended associations between unrelated regions after U-Net upsampling.Building on the widely-used latent diffusion model,Stable Diffusion,we propose a training-free,plugand-play method to alleviate semantic discrepancy and enhance the fidelity of the translated image.By leveraging the deterministic nature of denoising diffusion implicit models(DDIMs)inversion,we correct the erroneous features and correlations from the original generative process with accurate ones from DDIM inversion.This approach alleviates semantic discrepancy and surpasses recent DDIM-inversion-based methods such as PnP with fewer priors,achieving a speedup of 11.2 times in experiments conducted on COCO,ImageNet,and ImageNet-R datasets across multiple I2I translation tasks.
文摘The synonymous codon usage in the translational initiation and termination regions of genes of severe acute respiratory syndrome (SARS) coronavirus and five other viruses in Coronaviridae was systematically analyzed.The results indicate that most minor codons for these coronaviruses are preferentially used in the initial and terminal region.The minor codons preferentially used in the initial region are thought to have a negative effect on gene expression,which can be explained by the minor codon modulator hypothesis.It also indicates that the minor codons preferentially used in the terminal region may regulate the level of gene expression.The proposed results strongly imply that the minor codon modulator hypothesis can be applied to both some bacteria and some viruses.
文摘随机计算(stochastic computing,SC)能够通过简单的逻辑实现复杂的运算,其通过牺牲一定的精度,换取了低功耗、低硬件开销以及高容错的优势。本文提出了一种随机计算的边缘检测电路,通过简化随机计算的Sobel算子和截断随机数源等方法,在保证检测质量的前提下有效地降低资源消耗。实验结果表明,本文的研究相比于精确计算,在检测结果无明显差别的前提下,边缘检测部分查找表(look-up table,LUT)降低约54.4%,触发器(flip-flop,FF)降低约40.4%,数字信号处理单元(digital signal processing,DSP)从6个降到了1个。
基金supported by the National Research Foundation of Korea(NRF)grant funded by the Korea government(MSIT)(No.RS-2024-00406320)the Institute of Information&Communica-tions Technology Planning&Evaluation(IITP)-Innovative Human Resource Development for Local Intellectualization Program Grant funded by the Korea government(MSIT)(IITP-2026-RS-2023-00259678).
文摘Domain adaptation aims to reduce the distribution gap between the training data(source domain)and the target data.This enables effective predictions even for domains not seen during training.However,most conventional domain adaptation methods assume a single source domain,making them less suitable for modern deep learning settings that rely on diverse and large-scale datasets.To address this limitation,recent research has focused on Multi-Source Domain Adaptation(MSDA),which aims to learn effectively from multiple source domains.In this paper,we propose Efficient Domain Transition for Multi-source(EDTM),a novel and efficient framework designed to tackle two major challenges in existing MSDA approaches:(1)integrating knowledge across different source domains and(2)aligning label distributions between source and target domains.EDTM leverages an ensemble-based classifier expert mechanism to enhance the contribution of source domains that are more similar to the target domain.To further stabilize the learning process and improve performance,we incorporate imitation learning into the training of the target model.In addition,Maximum Classifier Discrepancy(MCD)is employed to align class-wise label distributions between the source and target domains.Experiments were conducted using Digits-Five,one of the most representative benchmark datasets for MSDA.The results show that EDTM consistently outperforms existing methods in terms of average classification accuracy.Notably,EDTM achieved significantly higher performance on target domains such as Modified National Institute of Standards and Technolog with blended background images(MNIST-M)and Street View House Numbers(SVHN)datasets,demonstrating enhanced generalization compared to baseline approaches.Furthermore,an ablation study analyzing the contribution of each loss component validated the effectiveness of the framework,highlighting the importance of each module in achieving optimal performance.
文摘The paper investigates how group work was implemented in English teaching classrooms in a junior high school of China's Mainland as a case study. The research data was collected by classroom observations, a survey of the students and interviews with the classroom teachers. The research finds a mismatch between an advocacy of group work and the reality of its poor implementation. It has implications on English curriculum innovation and the advocacy of group work in ELT classrooms in China's Mainland.
文摘To investigate the clinicopathological variables in early gastric cancer (EGC) patients in relation to differentiation discrepancy. METHODSThe data of 265 specimens from 240 patients with EGC, who had undergone radical operation at Hallym University Sacred Heart Hospital from 2010 to 2015, were retrospectively analyzed. We evaluated clinical, endoscopic, and histopathological data according to histological discrepancy. RESULTSClinically significant discrepancy rate showed the difference in differentiated type (well and moderately differentiated) and undifferentiated type (poorly differentiated and signet ring cell) between endoscopic biopsies and postoperative specimens was 9.4% (25/265). There were no differences in tumor location, size, gross pattern, and number of biopsies. Specimens having histological discrepancy showed more submucosal invasion (72.0% vs 49.6%, P = 0.033) and lymph node involvement (24.0% vs 7.9%, P = 0.009) than specimens having non-discrepancy. The rate of a positive epidermal growth factor receptor status was higher in specimens having discrepancy than in specimens having non-discrepancy (81.0% vs 55.4%, P = 0.035). CONCLUSIONThe discordance of histologic differentiation is associated with higher submucosal invasion and lymph node metastases in EGC. Patients have histological discrepancy may require additional surgical treatments.
基金supported by the National Natural Science Foundation of China(11301546).supported by the National Natural Science Foundation of China(11271147,11471136)
文摘The objective of this paper is to study the issue of uniformity on asymmetrical designs with two and three mixed levels in terms of Lee discrepancy. Based on the known formulation, we present a new lower bound of Lee discrepancy of fractional factorial designs with two and three mixed levels. Our new lower bound is sharper and more valid than other existing lower bounds in literature, which is a useful complement to the lower bound theory of discrepancies.
基金supported by NSFC(11271147,11301546,and 11401596)supported by NSFC(11271147 and 11471136)the Financially supported by self-determined research funds of CCNU from the colleges basic research and operation of MOE(CCNU16A02012)
文摘Doubling is a simple but powerful method of constructing two-level tractional factorial designs with high resolution. This article studies uniformity in terms of Lee discrepancy of double designs. We give some linkages between the uniformity of double design and the aberration case of the original one under different criteria. Furthermore, some analytic linkages between the generalized wordlength pattern of double design and that of the original one are firstly provided here, which extend the existing findings. The lower bound of Lee discrepancy for double designs is also given.
