Miracle-dz/UniFAR-FTUs huggingface dataset:
Pembentukan Sentence-Aligned Korpus Paralel untuk Bahasa Sunda-Bahasa Indonesia Berbasis Wikipedia dengan Bootstrapping dan EM

Ketersediaan korpus paralel pada pasangan bahasa Sunda-Indonesia masih sangat sedikit. Korpus paralel tersebut penting dan bisa dimanfaatkan sebagai sumber data latih dalam sistem machine translation atau sistem natural language processing. Penelitian ini mencoba untuk mengumpulkan kalimat paralel yang didapatkan dari pasangan artikel Wikipedia berbahasa Sunda dan berbahasa Indonesia menggunakan fasilitas interlanguage links. Sebuah bilingual lexicon dan beberapa filter yang berdasarkan pada kemunculan kata, panjang kalimat dan word overlap antar kalimat digunakan untuk mendapatkan kalimat paralel. Metode bootstrapping kemudian digunakan untuk meningkatkan kualitas kalimat paralel dengan cara memperbarui bilingual lexicon memanfaatkan IBM Model 4 expectation maximization (EM) learner di dalam tool GIZA++. GIZA++ dijalankan pada kandidat kalimat paralel yang dihasilkan di setiap iterasi sistem sampai kondisi konvergensi tercapai. Hasil evaluasi manual menggunakan penilaian manusia menunjukkan bahwa 79,5% dari korpus paralel hasil bentukan sistem terbukti paralel. Kata kunci: korpus paralel, Wikipedia, bootstrapping, expectation maximization
Whole-brain mapping of efferent projections of the anterior cingulate cortex in adult male mice

The anterior cingulate cortex (ACC) is a key cortical region that plays an important role in pain perception and emotional functions. Previous studies of the ACC projections have been collected primarily from monkeys, rabbits and rats. Due to technological advances, such as gene manipulation, recent progress has been made in our understanding of the molecular and cellular mechanisms of the ACC-related chronic pain and emotion is mainly obtained from adult mice. Few anatomic studies have examined the whole-brain projections of the ACC in adult mice. In the present study, we examined the continuous axonal outputs of the ACC in the whole brain of adult male mice. We used the virus anterograde tracing technique and an ultrahigh-speed imaging method of Volumetric Imaging with Synchronized on-the-fly-scan and Readout (VISoR). We created a three-dimensional (3D) reconstruction of mouse brains. We found that the ACC projected ipsilaterally primarily to the caudate putamen (CPu), ventral thalamic nucleus, zona incerta (ZI), periaqueductal gray (PAG), superior colliculus (SC), interpolar spinal trigeminal nucleus (Sp5I), and dorsal medullary reticular nucleus (MdD). The ACC also projected to contralateral brain regions, including the ACC, reuniens thalamic nucleus (Re), PAG, Sp5I, and MdD. Our results provide a whole-brain mapping of efferent projections from the ACC in adult male mice, and these findings are critical for future studies of the molecular and synaptic mechanisms of the ACC and its related network in mouse models of brain diseases.
Research Review: A guide to computing and implementing polygenic scores in developmental research

The increasing availability of genotype data in longitudinal population‐ and family‐based samples provides opportunities for using polygenic scores (PGS) to study developmental questions in child and adolescent psychology and psychiatry. Here, we aim to provide a comprehensive overview of how PGS can be generated and implemented in developmental psycho(patho)logy, with a focus on longitudinal designs. As such, the paper is organized into three parts: First, we provide a formal definition of polygenic scores and related concepts, focusing on assumptions and limitations. Second, we give a general overview of the methods used to compute polygenic scores, ranging from the classic approach to more advanced methods. We include recommendations and reference resources available to researchers aiming to conduct PGS analyses. Finally, we focus on the practical applications of PGS in the analysis of longitudinal data. We describe how PGS have been used to research developmental outcomes, and how they can be applied to longitudinal data to address developmental questions.
Current methods for developing predictive energy equations in maintenance dialysis are imprecise

Abstract Purpose For individuals receiving maintenance dialysis, estimating accurate resting energy expenditure (REE) is essential for achieving energy balance, and preventing protein-energy wasting. Dialysis-specific, predictive energy equations (PEEs) offer a practical way to calculate REE. Three PEEs have been formulated via similar methods in different demographic samples; the Maintenance Haemodialysis Equation (MHDE REE), Vilar et al. Equation (Vilar REE) and the Fernandes et al. Equation (Cuppari REE). We compared them in a US cohort and assessed precision relative to measured REE (mREE) from indirect calorimetry. Because of expected imprecision at the extremes of the weight distribution, we also assessed the PEEs stratified by body mass index (BMI) subgroups. Methods This analysis comprised of 113 individuals from the Rutgers Nutrition and Kidney Database. Estimated REE (eREE) was calculated for each PEE, and agreement with mREE was set at > 50% of values within the limits of ±10%. Reliability and accuracy were determined using intraclass correlation (ICC) and a Bland Altman plot, which analysed the percentage difference of eREE form mREE. Results Participants were 58.4% male and 81.4% African American. Mean age was 55.8 ± 12.2 years, and the median BMI was 28.9 (IQR = 25.3 − 34.4) kg/m2. The MHDE REE achieved 58.4% of values within ±10% from mREE; Cuppari REE achieved 47.8% and Vilar REE achieved 46.0% agreement. Reliability was good for the MHDE REE (ICC = 0.826) and Cuppari REE (ICC = 0.801), and moderate for the Vilar REE (ICC = 0.642) (p < .001 for all). The equations performed poorly at the lowest and highest BMI categories. Conclusion Dialysis-specific energy equations showed variable accuracy. When categorized by BMI, the equations performed poorly at the extremes, where individuals are most vulnerable. Innovation is needed to understand these variances and correct the imprecision in PEEs for clinical practice. KEY MESSAGES Potentially impacting over millions of patients worldwide, our long-term goal is to understand energy expenditure (EE) across the spectrum of CKD (stages 1–5) in adults and children being treated with dialysis or transplantation, with the intent of providing tools for the health professional that will improve the delivery of quality care. Our research has identified and focussed on disease-specific factors which account for 60% of the variance in predicting EE in patients on MHD, but significant gaps remain. Thus, our central hypotheses are that (1) there are unique disease-specific determinants of EE and (2) prediction of EE for individuals diagnosed with CKD can be vastly improved with a model that combines these factors with more sophisticated approaches.
ICL-Net: Global and Local Inter-Pixel Correlations Learning Network for Skin Lesion Segmentation

Skin lesion segmentation is a fundamental procedure in computer-aided melanoma diagnosis. However, due to the diverse shape, variable size, blurry boundary, and noise interference of lesion regions, existing methods may struggle with the challenge of inconsistency within classes and indiscrimination between classes. In view of this, we propose a novel method to learn and model inter-pixel correlations from both global and local aspects, which can increase inter-class variances and intra-class similarities. Specifically, under the encoder-decoder architecture, we first design a pyramid transformer inter-pixel correlations (PTIC) module, aiming at capturing the non-local context information of different levels and further exploring the global pixel-level relationship to deal with the large variance of shape and size. Further, we devise a local neighborhood metric learning (LNML) module to strengthen the local semantic correlations learning capability and increase the separability between classes in the feature space. These two modules can complementarily strengthen the feature representation capability via exploiting the inter-pixel semantic correlations, thus further improving intra-class consistency and inter-class variance. Comprehensive experiments are performed on public skin lesion segmentation datasets: ISIC 2018, ISIC2016, and PH2, and experimental results demonstrate that the proposed method achieves better segmentation performance than other state-of-the-art methods.
Integrating Palliative Care Into Self-management of Breast Cancer

Background Breast cancer patients may not be well-informed about palliative care, hindering its integration into cancer self-management. Objective The aim of this study was to test Managing Cancer Care: A Personal Guide (MCC-PT), an intervention to improve palliative care literacy and cancer self-management. Methods This was a single-blind pilot randomized controlled trial to evaluate the feasibility/acceptability and intervention effects of MCC-PT on palliative care literacy, self-management behaviors/emotions, and moderation by demographic/clinical characteristics. We enrolled 71 stages I to IV breast cancer patients aged at least 21 years, with >6-month prognosis at an academic cancer center. Patients were randomized to MCC-PT (n = 32) versus symptom management education as attention-control (n = 39). At baseline, 1 month, and 3 months, participants completed the Knowledge of Care Options Test (primary outcome), Control Preferences Scale, Goals of Care Form, Medical Communication Competence Scale, Measurement of Transitions in Cancer Scale, Chronic Disease Self-efficacy Scale, Hospital Anxiety and Depression Scale, and the Mishel Uncertainty in Illness Scale. Results Mean participant age was 51.5 years (range, 28–74 years); 53.5% were racial/ethnic minority patients, and 40.8% had stage III/IV cancer. After adjusting for race/ethnicity, MCC-PT users improved their palliative care literacy with a large effect size (partial η2 = 0.13). Patients at late stage of disease showed increased self-management (partial η2 = 0.05) and reduced anxiety (partial η2 = 0.05) and depression (partial η2 = 0.07) with medium effect sizes. Conclusions Managing Cancer Care: A Personal Guide is feasible and appears most effective in late-stage cancer. Research is needed to elucidate relationships among cancer stage, race/ethnicity, and self-management outcomes. Implications for Practice Integration of palliative care into cancer care can assist in creation of appropriate self-management plans and improve emotional outcomes.
The cwp66 Gene Affects Cell Adhesion, Stress Tolerance, and Antibiotic Resistance in Clostridioides difficile

The cell wall protein 66 gene (cwp66) encodes a cell wall protein, which is the second major cell surface antigen of C. difficile. Although immunological approaches, such as antibodies and purified recombinant proteins, have been implemented to study the role of Cwp66 in cell adhesion, no deletion mutant of the cwp66 gene has yet been characterized. ABSTRACT Clostridioides difficile is a Gram-positive, spore-forming anaerobic bacteria that is one of the leading causes of antibiotic-associated diarrhea. The cell wall protein 66 gene (cwp66) encodes a cell wall protein, which is the second major cell surface antigen of C. difficile. Although immunological approaches, such as antibodies and purified recombinant proteins, have been implemented to study the role of Cwp66 in cell adhesion, no deletion mutant of the cwp66 gene has yet been characterized. We constructed a cwp66 gene deletion mutant using Clustered Regularly Interspaced Short Palindromic Repeats Cpf1 (CRISPR-Cpf1) system. The phenotypic and transcriptomic changes of the Δcwp66 mutant compared with the wild-type (WT) strain were studied. The deletion of the cwp66 gene led to the decrease of cell adhesive capacity, cell motility, and stresses tolerance (to Triton X-100, acidic environment, and oxidative stress). Interestingly, the Δcwp66 mutant is more sensitive than the WT strain to clindamycin, ampicillin, and erythromycin but more resistant than the latter to vancomycin and metronidazole. Moreover, mannitol utilization capability in the Δcwp66 mutant was lost. Comparative transcriptomic analyses indicated that (i) 22.90-fold upregulation of cwpV gene and unable to express gpr gene were prominent in the Δcwp66 mutant; (ii) the cwp66 gene was involved in vancomycin resistance of C. difficile by influencing the expression of d-Alanine-d-Alanine ligase; and (iii) the mannose/fructose/sorbose IIC and IID components were upregulated in Δcwp66 mutant. The present work deepens our understanding of the contribution of the cwp66 gene to cell adhesion, stress tolerance, antibiotic resistance, and mannitol transportation of C. difficile. IMPORTANCE The cell wall protein 66 gene (cwp66) encodes a cell wall protein, which is the second major cell surface antigen of C. difficile. Although immunological approaches, such as antibodies and purified recombinant proteins, have been implemented to study the role of Cwp66 in cell adhesion, no deletion mutant of the cwp66 gene has yet been characterized. The current study provides direct evidence that the cwp66 gene serves as a major adhesion in C. difficile, and also suggested that deletion of the cwp66 gene led to the decrease of cell adhesive capacity, cell motility, and stresses tolerance (to Triton X-100, acidic environment, and oxidative stress). Interestingly, the antibiotic resistance and carbon source utilization profiles of the Δcwp66 mutant were significantly changed. These phenotypes were detrimental to the survival and pathogenesis of C. difficile in the human gut and may shed light on preventing C. difficile infection.
Antibody mutations favoring pH‐dependent binding in solid tumor microenvironments: Insights from large‐scale structure‐based calculations

Antibody‐based therapeutics for treatment of various tumors have grown rapidly in recent years. Unfortunately, safety issues, attributed to off‐tumor effects and cytotoxicity, are still a significant concern with the standard of care. Improvements to ensure targeted delivery of antitumor pharmaceuticals are desperately needed. We previously demonstrated that incorporating histidyl pH‐switches in an anti‐HER2 antibody induced selective antigen binding under acidic pH conditions (MAbs 2020;12:1682866). This led to an improved safety profile due to preferential targeting of the oncoprotein in the acidic solid tumor microenvironment. Following this success, we expanded this approach to a set of over 400 antibody structures complexed with over 100 different human oncoproteins, associated with solid tumors. Calculations suggested that mutations to His of certain residue types, namely Trp, Arg, and Tyr, could be significantly more successful for inducing pH‐dependent binding under acidic conditions. Furthermore, 10 positions within the complementarity‐determining region were also predicted to exhibit greater successes. Combined, these two accessible metrics could serve as the basis for a sequence‐based engineering of pH‐selective binding. This approach could be applied to most anticancer antibodies, which lack detailed structural characterization.
Perspectives of residents on shared decision making in medication management: A qualitative study

ABSTRACT Objectives: Shared decision making is the process in which the person, their representative, and health care professional share information with each other, participate in the decision-making process, and agree on a course of action. At present, very little is known about shared decision making (SDM) in medication management from the perspective of long-term care facility residents. The objective of this study was to identify residents’ beliefs, motivation, and aspects of the environment that facilitate or impede SDM. Design: A qualitative study was conducted using face-to-face semi-structured interviews, and data analysis was carried out using a thematic approach. Setting: Six long-term care facilities in Sydney, Australia. Participants: Thirty-one residents. Results: Enablers to resident involvement in SDM were resident beliefs in exercising their right to take part in medication-related decisions, preference to maintain control over decisions, and motivation to raise concern about medication. Residents were not motivated to be involved in SDM if they believed they had no control over life circumstance, perceived that medications were necessary, or experienced no problems with their medications. Participation in SDM was hindered by limitations in opportunities for resident involvement, engagement with staff and primary care physician to discuss issues related to medications, and continuity of care with their regular physician. Conclusion: This study highlights that the residents’ beliefs in control over decisions and concerns about medication are a significant function of the SDM process. It is important that residents are given the choice to take part in SDM, their beliefs and values regarding SDM are understood, and the culture of the care facility respects residents’ right to participate in SDM.
Childhood Victimization and Adult Incarceration: A Review of the Literature

A growing body of work estimates the prevalence of childhood victimization among incarcerated people. The present study seeks to descriptively and quantitatively summarize this abundant literature by reviewing studies that report childhood victimization prevalence among people incarcerated in the United States. The review includes any study of childhood victimization that uses a sample of incarcerated adults (age eighteen or older) and that reports the proportion of the sample that experienced child abuse and/or neglect. Sixty-seven studies met these criteria and were analyzed, encompassing 1,187,044 incarcerated individuals. The studies vary in sample characteristics, methodological features, and employ an exceedingly wide range of victimization measures. Meta-analyses for pooled prevalence rates revealed that the inter-study heterogeneity was too great to draw conclusive summary estimates of childhood victimization from this literature, even when disaggregating by victimization type. Exploratory t-tests and correlation analyses suggest that a study’s sample size, racial, ethnic, and gender composition, and variation in victimization measurement can influence reported child abuse and neglect, but more research is needed to fully assess how study characteristics influence reported victimization prevalence. Understanding the extensiveness of childhood victimization histories among incarcerated people emphasizes the need for robust screening and treatment for people within correctional facilities, as well as improved community prevention and intervention efforts.
The state-of-the-art pharmacotherapeutic options for the treatment of chronic non-cancer pain

ABSTRACT Introduction Pharmacotherapeutic options continue to expand for the treatment of chronic non-cancer pain. There has been an increasing emphasis on multimodal analgesia. This strategy employs use of multiple analgesic medications each with a distinct mechanism of action, which when administered concomitantly may provide profound analgesia. Areas covered The authors describe evidence from randomized controlled trials and systematic reviews on a variety of established medications including anti-inflammatory agents, opioids, anti-convulsants, anti-depressants, N-methyl-D-aspartate receptor antagonists, sodium channel blockers, cannabinoids, and alpha-2-receptor blockers. Furthermore, they provide developing evidence on more novel pharmacotherapeutics including alpha lipoic acid, acetyl-L-carnitine, low-dose naltrexone, calcitonin gene-related peptide antagonists, targeted toxin therapy, Nav1.7 inhibitors, neurotensin agonists, purinoceptor antagonists, and sigma-1 receptor antagonists. Furthermore, the authors review the safety and adverse effect profile for these agents. Expert opinion In this era of the opioid epidemic, clinicians should first offer non-opioid analgesics and employ a multimodal analgesic strategy. Current guidelines recommend a personalized approach to the chronic pain treatment, in each case accounting for type, location, severity, and chronicity of pain. Clinicians should also carefully consider the risk-to-benefit ratio to the patient based on the drug side effect profile, patient age, and comorbidities.
Electronic service quality of Malaysia airline industry (low cost carrier)

This research was perform to examine the dimension electronic service quality of Malaysia airline industries (low cost carrier) and the impact on customers perceived service satisfaction. This research employed convenience sa mpling procedure and questionnaire as method to gain data, 392 completed questionnaires w ere gathered from Malaysia airline industries (low cost carrier) website users. The Co nfirmatory Factor Analysis performed and indicated that five dimensions such as fulfilment, system availability, efficiency, site privacy and aesthetic and customizations were applicable to measure Malaysia airline industries (low cost carrier) e-SQ. The regression analysis pe rformed showed that e-SQ dimension- fulfilment, system availability, efficiency, site p rivacy and aesthetic and customizations have a significant positive relationship exist between e -SQ dimension and perceived service satisfaction in the Malaysia airline industries (lo w cost carrier) website user. Future research recommendations to discuss on impact dimen sion of e-SQ regarding to recovery issue such as compensation, responsiveness and cont act on customers perceived satisfaction in Malaysia airline industries (low cost carrier).
Variants of Th17 pathway-related genes influence brain morphometric changes and the risk of schizophrenia through epistatic interactions

Objective T helper 17 (Th17) pathway has been reported to be abnormal in schizophrenia; however, it is not known whether variation within genes of this pathway has any impact on schizophrenia. Herein, the impact of genetic variations and gene–gene interactions of Th17 pathway-related genes on the risk, psychopathology, and brain volume was examined in schizophrenia patients. Methods Functional polymorphisms within interleukin 6 (IL6)(rs1800795 and rs1800797), IL10 (rs1800872 and rs1800896), IL17A (rs2275913 and rs8193036), IL22 (rs2227484 and rs2227485), IL23R (rs1884444), and IL27 (rs153109 and rs181206) genes were studied in 224 schizophrenia patients and 226 healthy controls. These variants were correlated with the brain morphometry, analyzed using MRI in a subset of patients (n = 117) and controls (n = 137). Results Patients carrying CC genotype of rs2227484 of IL22 gene had significantly higher apathy total score [F (1,183) = 5.60; P = 0.019; partial ɳ2 = 0.030]. Significant epistatic interactions between IL6 (rs1800797) and IL17A (rs2275913) genes were observed in schizophrenia patients. GG genotype of rs2275913 of IL17A gene was associated with reduced right middle occipital gyrus volume in schizophrenia patients (T = 4.56; P < 0.001). Conclusion Interactions between genes of Th17 pathway impact the risk for schizophrenia. The variants of Th17 pathway-related genes seem to have a determining effect on psychopathology and brain morphometric changes in schizophrenia.
α-Synuclein phosphorylation at serine 129 occurs after initial protein deposition and inhibits seeded fibril formation and toxicity

Significance Converging evidence points to the build-up of phosphorylated α-synuclein (α-syn) at residue serine 129 (pS129) in Lewy body disease, suggesting its central role in the regulation of α-syn aggregation and neuronal degeneration. However, a comprehensive understanding of the role of α-syn phosphorylation at pS129 in α-synuclenopathies pathogenesis is still lacking. Herein, we study the phosphorylation incidence and its effect on α-syn aggregation propensity and cellular toxicity. Collectively, our data suggest that pS129 occurred subsequent to initial α-syn aggregation, lessened aggregation propensity, and attenuated cytotoxicity through diverse assays. Our findings highlight major implications for a better understanding of the role of a molecular modification on protein aggregation.