Miracle-dz/UniFAR-FTUs huggingface dataset:
Drying methods affect physicochemical and functional characteristics of Clanis Bilineata Tingtauica Mell protein

Clanis Bilineata Tingtauica Mell Protein (CBTMP) was a kind of natural full-price protein which has a bright application prospect in the food industry. Since the functional properties of protein can be significantly affected by drying method, this study aims to explore the effect of different drying methods, namely freeze drying (FD), vacuum drying (VD),and hot-air drying (HD) on the structure and functional properties of CBTMP. The results showed that the degree of oxidation of CBTMP was found to be in the following order: HD > VD > FD. Functional characteristics revealed that the CBTMP prepared by VD had relatively high foaming ability (150.24 ± 5.34°C) among three drying methods. However, the stability of emulsion and rheological properties prepared by FD was superior to other samples. Differential scanning calorimeter (DSC) showed CBTMP made by HD had the relatively good thermal stability (Tp = 91.49 ± 0.19 °C), followed by VD and FD. Digestive properties reflected that heating treatment could significantly increase its degree of hydrolysis in vitro. To sum up, the research could provide experimental guidance and theoretical support for the preparation method and utilization of CBTMP. Graphical Abstract Drying methods affect physicochemical and functional characteristics of Clanis Bilineata Tingtauica Mell protein.
Tandem Resonance metallic double-J ureteral stents in a single ureter for salvage management of chronic ureteral obstruction

Abstract For chronic malignant and benign ureteral obstruction, the metal construction of the Resonance ureteral stent has been developed to maintain ureteral patency for up to 12 months, obviating the need for the frequent exchange required for conventional plastic ureteral stents. We report our experience placing tandem Resonance stents (TRS) in a single ureter of patients who failed management with a single Resonance stent. A retrospective review of patients who had TRS for management of ureteral obstruction between February 2014 and May 2017 was performed. Seven renal units from four patients with a median age of 62 years were managed with TRS. All but one renal unit was successfully managed with TRS initially. Hydronephrosis resolved in 80% of renal units at a median of 33 days, and creatinine reached its nadir a median of 38 days after placement, with a median improvement of 0.68 ng/mL. However, the median length of management with TRS was only 123.5 days with one exchange, and there was an overall success rate of 28.5% at 1 year. TRS placement is a feasible option for short-term management in a challenging population that would like to avoid nephrostomy and has failed other modalities.
INTRA-INDIVIDUAL JOINT ANGLE VARIATION DURING THE TAKE-OFF STEP OF LONG JUMPERS WITH TRANSTIBIAL AMPUTATION – PRELIMINARY RESULTS

Biomechanical knowledge of the long jump take-off step is not comprehensive for athletes with below the knee amputation (BKA), yet it is important for improving training protocols and performance. Three-dimensional motion capture (Vicon) and a mathematical rigidbody model (Dynamicus, Alaska) were used to calculate joint angles during repeated long jump take-off steps of athletes with and without BKA. Preliminary results indicate that those athletes with BKA who perform better during the long jump compared to another athlete with BKA, have relatively high intra-individual joint angle variation at the knee and hip joint at the instant of take-off compared to non-amputee athletes. The presented results may stimulate future research questions and can inform athletes and coaches during the development of training protocols.
Exposure to unpredictability and mental health: Validation of the brief version of the Questionnaire of Unpredictability in Childhood (QUIC-5) in English and Spanish

Unpredictability is increasingly recognized as a primary dimension of early life adversity affecting lifespan mental health trajectories; screening for these experiences is therefore vital. The Questionnaire of Unpredictability in Childhood (QUIC) is a 38-item tool that measures unpredictability in childhood in social, emotional and physical domains. The available evidence indicates that exposure to unpredictable experiences measured with the QUIC predicts internalizing symptoms including depression and anxiety. The purpose of the present study was to validate English and Spanish brief versions (QUIC-5) suitable for administration in time-limited settings (e.g., clinical care settings, large-scale epidemiological studies). Five representative items were identified from the QUIC and their psychometric properties examined. The predictive validity of the QUIC-5 was then compared to the QUIC by examining mental health in four cohorts: (1) English-speaking adult women assessed at 6-months postpartum (N = 116), (2) English-speaking male veterans (N = 95), (3) English-speaking male and female adolescents (N = 155), and (4) Spanish-speaking male and female adults (N = 285). The QUIC-5 demonstrated substantial variance in distributions in each of the cohorts and is correlated on average 0.84 (r’s = 0.81–0.87) with the full 38-item version. Furthermore, the QUIC-5 predicted internalizing symptoms (anxiety and depression) in all cohorts with similar effect sizes (r’s = 0.16–0.39; all p’s < 0.05) to the full versions (r’s = 0.19–0.42; all p’s < 0.05). In sum, the QUIC-5 exhibits good psychometric properties and is a valid alternative to the full QUIC. These findings support the future use of the QUIC-5 in clinical and research settings as a concise way to measure unpredictability, identify risk of psychopathology, and intervene accordingly.
EFFECTIVENESS OF PROPHYLACTIC LINGUAL STRENGTHENING EXERCISES FOR PATIENTS WITH HEAD AND NECK CANCER A SYSTEMATIC REVIEW

OF THESIS EFFECTIVENESS OF PROPHYLACTIC LINGUAL STRENGTHENING EXERCISES FOR PATIENTS WITH HEAD AND NECK CANCER A SYSTEMATIC REVIEW Radiation treatment for head and neck cancer has devastating effects on swallowing ability. Prophylactic swallowing exercises are often recommended. However, the evidence for these exercises is equivocal and information regarding critical components of an exercise program is lacking. The purpose of this systematic review was to examine the evidence regarding lingual strengthening exercises as a component of a prophylactic swallowing program.
Improving ionospheric predictability requires accurate simulation of the mesospheric polar vortex

The mesospheric polar vortex (MPV) plays a critical role in coupling the atmosphere-ionosphere system, so its accurate simulation is imperative for robust predictions of the thermosphere and ionosphere. While the stratospheric polar vortex is widely understood and characterized, the mesospheric polar vortex is much less well-known and observed, a short-coming that must be addressed to improve predictability of the ionosphere. The winter MPV facilitates top-down coupling via the communication of high energy particle precipitation effects from the thermosphere down to the stratosphere, though the details of this mechanism are poorly understood. Coupling from the bottom-up involves gravity waves (GWs), planetary waves (PWs), and tidal interactions that are distinctly different and important during weak vs. strong vortex states, and yet remain poorly understood as well. Moreover, generation and modulation of GWs by the large wind shears at the vortex edge contribute to the generation of traveling atmospheric disturbances and traveling ionospheric disturbances. Unfortunately, representation of the MPV is generally not accurate in state-of-the-art general circulation models, even when compared to the limited observational data available. Models substantially underestimate eastward momentum at the top of the MPV, which limits the ability to predict upward effects in the thermosphere. The zonal wind bias responsible for this missing momentum in models has been attributed to deficiencies in the treatment of GWs and to an inaccurate representation of the high-latitude dynamics. In the coming decade, simulations of the MPV must be improved.
Predictability and empirical dynamics of fisheries time series in the North Pacific

Previous studies have documented a strong relationship between marine ecosystems and large-scale modes of sea surface height (SSH) and sea surface temperature (SST) variability in the North Pacific such as the Pacific Decadal Oscillation and the North Pacific Gyre Oscillation. In the central and western North Pacific along the Kuroshio-Oyashio Extension (KOE), the expression of these modes in SSH and SST is linked to the propagation of long oceanic Rossby waves, which extend the predictability of the climate system to ~3 years. Using a multivariate physical-biological linear inverse model (LIM) we explore the extent to which this physical predictability leads to multi-year prediction of dominant fishery indicators inferred from three datasets (i.e., estimated biomasses, landings, and catches). We find that despite the strong autocorrelation in the fish indicators, the LIM adds dynamical forecast skill beyond persistence up to 5-6 years. By performing a sensitivity analysis of the LIM forecast model, we find that two main factors are essential for extending the dynamical predictability of the fishery indicators beyond persistence. The first is the interaction of the fishery indicators with the SST/SSH of the North and tropical Pacific. The second is the empirical relationship among the fisheries time series. This latter component reflects stock-stock interactions as well as common technological and human socioeconomic factors that may influence multiple fisheries and are captured in the training of the LIM. These results suggest that empirical dynamical models and machine learning algorithms, such as the LIM, provide an alternative and promising approach for forecasting key ecological indicators beyond the skill of persistence.
Varicose veins of lower limb: clinical presentation and management

Background: Varicose veins is a common clinical condition affecting the lower limbs. Usually patient comes for a cosmetic problem, it can cause complications giving rise to significant morbidity if not treated in time. Different options are available for surgical management. The present study has been carried out to study demographic factors, evaluate clinical presentation and outcome of various modalities of management of varicose veins of lower limb.Methods: The present study was carried out in a tertiary care academic hospital from October 2016 to October 2018 and 54 cases were enrolled. The clinical presentation of varicose veins were studied. Mean age and gender preponderance were calculated. All patients underwent clinical tests and venous doppler and accordingly appropriate treatment in the form of conservative, surgical or endovenous laser ablation was given. Complications following the procedures were studied.Results: A total of 39 (72%) patients out of 54 were below the age of 50 years. Prominent veins over lower limb was most common presentation. Sapheno-femoral junction was most commonly involved vein. Male preponderance was observed with a male to female ratio of 12.5:1. Venous Doppler had accuracy of 92.59% in detecting sapheno-femoral and perforator incompetence. Results of endovenous laser ablation are similar to surgery but with less morbidity.Conclusions: This study revealed the disease is prevalence in active phase of life with male preponderance. Majority of the patients had great saphenous vein incompetency and the complications are more when both great saphenous and perforator systems are involved. Venous Doppler is the investigation of choice as it has high accuracy.
Prognostic and Clinicopathological Significance of PD-L1 in Patients With Bladder Cancer: A Meta-Analysis

Background: The prognostic role of programmed cell death-ligand 1 (PD-L1) in bladder cancer has been investigated in previous studies, but the results remain inconclusive. Therefore, we carried out a meta-analysis to evaluate the prognostic significance of PD-L1 in patients with bladder cancer. Methods: The electronic databases PubMed, Embase, Web of Science, and Cochrane Library were searched. The association between PD-L1 expression and survival outcomes and clinicopathological factors was analyzed by hazard ratios (HRs) or odds ratios (ORs) and 95% confidence intervals (CIs). Results: A total of 11 studies containing 1,697 patients were included in the meta-analysis. High PD-L1 expression was associated with poor overall survival (OS) (HR = 1.83, 95% CI = 1.24–2.71, p = 0.002). There was nonsignificant association between PD-L1 and recurrence-free survival (RFS) (HR = 1.43, 95% CI = 0.89–2.29, p = 0.134), cancer-specific survival (CSS) (HR = 1.51, 95% CI = 0.80–2.87, p = 0.203), or disease-free survival (DFS) (HR = 1.53, 95% CI = 0.88–2.65, p = 0.13). Furthermore, high PD-L1 was significantly correlated with higher tumor stage (OR = 3.9, 95% CI = 2.71–5.61, p < 0.001) and distant metastasis (OR = 2.5, 95% CI = 1.22–5.1, p = 0.012), while PD-L1 overexpression was not correlated with sex, tumor grade, lymph node status, and multifocality. Conclusions: The meta-analysis suggested that PD-L1 overexpression could predict worse survival outcomes in bladder cancer. High PD-L1 expression may act as a potential prognostic marker for patients with bladder cancer.
Antidepressant use pattern and disparities among cancer patients in the United States

Many cancer patients also suffer from depression, however, pharmacotherapy of depression and related disparities in US cancer survivors have not been examined in a nationally representative sample. In the present study, 2,590 adult cancer survivors participating in the National Health and Nutrition Examination Survey 2011–2020 were included and antidepressant use pattern was investigated. To examine disparities by social-demographic characteristics and access to healthcare, multivariate logistic regression analysis was conducted in 422 cancer patients who were using antidepressants and 230 cancer patients who were not using antidepressants but were diagnosed with depression. Results suggested that 21% of adult cancer survivors were using antidepressants and selective serotonin reuptake inhibitors were the most common type of antidepressants used. Antidepressant users were more likely to be female, non-Hispanic white, those who were married or living with partner. In addition, those without a routine place to go for healthcare were less likely to use antidepressants. Disparities were not found by age, family income levels, education, or health insurance coverage. The findings highlight disparities in antidepressant use in cancer patients in the US. Policy makers need to better allocate healthcare resources and facilitate availabilities of affordable care to every patient in need.
Preschool teachers’ STEM pedagogical content knowledge: A comparative study of teachers in Greece and Turkey

This study compares the STEM Pedagogical Content Knowledge of Greek and Turkish preschool teachers. The present research is a comparative descriptive study that aims to determine the STEM Pedagogical Content Knowledge of preschool teachers from Greece and Turkey. A descriptive survey model, a method used in quantitative research, was used as this study’s primary research method. The STEM Pedagogical Content Knowledge Scale (STEMPCK) was used in this study. Six hundred sixty-nine preschool teachers - 104 Greek and 565 Turkish teachers - participated in this study. The STEMPCK Scale’s construct validity and reliability were tested using this study’s data set, which was found to be both valid and reliable. No significant difference was found between the STEMPCK scores of Greek and Turkish preschool teachers. The significant differentiation of STEMPCK scores based on whether the teachers had received any STEM training is discussed in light of the relevant literature. This study determines and compares STEMPCK among preschool teachers from disparate countries such as Greece and Turkey and is expected to contribute to the literature.
Analysis of Vasopressor Discontinuation and the Incidence of Rebound Hypotension in Patients With Septic Shock

Purpose: The purpose of this study was to examine the incidence of rebound hypotension in patients with septic shock requiring both norepinephrine and vasopressin infusions once discontinuation of 1 of these agents is warranted. Methods: A multicenter, retrospective study was conducted in 3 hospitals within a single health system between January 1, 2016, and December 31, 2017. The study population included adults, 18 years and older, diagnosed with septic shock and requiring concurrent infusions of norepinephrine and vasopressin. The primary outcome evaluated the incidence of rebound hypotension within 24 hours after the first vasopressor was discontinued. Secondary outcomes included intensive care unit length of stay, hospital length of stay, total vasopressor duration, and the time to rebound hypotension after first vasopressor discontinuation. Results: A total of 69 patients were included in the study, 38 in the vasopressin discontinued first group and 31 in the norepinephrine discontinued first group. Rebound hypotension occurred in 82% of patients in the vasopressin discontinued first group compared with 48% in the norepinephrine discontinued first group (P = .004). No differences were observed in secondary outcomes, including intensive care unit or hospital length of stay, total vasopressor duration, or the time to rebound hypotension. Conclusions: Discontinuation of norepinephrine before vasopressin may lead to less incidence of rebound hypotension in patients with septic shock who require concurrent norepinephrine and vasopressin infusions. Similar to previous studies, this study found no difference in secondary outcomes.
Theory and Algorithms for Hypothesis Transfer Learning

The design and analysis of machine learning algorithms typically considers the problem of learning on a single task, and the nature of learning in such scenario is well explored. On the other hand, very often tasks faced by machine learning systems arrive sequentially, and therefore it is reasonable to ask whether a better approach can be taken than retraining such systems from scratch given newly available data. Indeed, by drawing analogy from human learning, a novel skill could be acquired more easily whenever the learner shares a relevant past experience. In response to this observation, the machine learning community has drawn its attention towards a form of learning known as transfer learning - learning a novel task by leveraging upon auxiliary information extracted from previous tasks. Tangible progress has been made in both theory and practice of transfer learning; however, many questions are still to be addressed. In this thesis we will focus on an efficient type of transfer learning, known as the Hypothesis Transfer Learning (HTL), where auxiliary information is retained in a form of previously induced hypotheses. This is in contrast to the large body of work where one transfers from the data associated with previously encountered tasks. In particular, we theoretically investigate conditions when HTL guarantees improved generalization on a novel task subject to the relevant auxiliary (source) hypotheses. We investigate HTL theoretically by considering three scenarios: HTL through regularized least squares with biased regularization, through convex empirical risk minimization, and through stochastic optimization, which also touches the theory of non-convex transfer learning problems. In addition, we demonstrate the benefits of HTL empirically, by proposing two algorithms tailored for real-life situations with application to visual learning problems - learning a new class in a multi-class classification setting by transferring from known classes, and an efficient greedy HTL algorithm for learning with large number of source hypotheses. From theoretical point of view this thesis consistently identifies the key quantitative characteristics of relatedness between novel and previous tasks, and explicitates them in generalization bounds. These findings corroborate many previous works in the transfer learning literature and provide a theoretical basis for design and analysis of new HTL algorithms.
ATC-NLSP: Prediction of the Classes of Anatomical Therapeutic Chemicals Using a Network-Based Label Space Partition Method

Anatomical Therapeutic Chemical (ATC) classification system proposed by the World Health Organization is a widely accepted drug classification scheme in both academic and industrial realm. It is a multilabeling system which categorizes drugs into multiple classes according to their therapeutic, pharmacological, and chemical attributes. In this study, we adopted a data-driven network-based label space partition (NLSP) method for prediction of ATC classes of a given compound within the multilabel learning framework. The proposed method ATC-NLSP is trained on the similarity-based features such as chemical–chemical interaction and structural and fingerprint similarities of a compound to other compounds belonging to the different ATC categories. The NLSP method trains predictors for each label cluster (possibly intersecting) detected by community detection algorithms and takes the ensemble labels for a compound as final prediction. Experimental evaluation based on the jackknife test on the benchmark dataset demonstrated that our method has boosted the absolute true rate, which is the most stringent evaluation metrics in this study, from 0.6330 to 0.7497, in comparison to the state-of-the-art approaches. Moreover, the community structures of the label relation graph were detected through the label propagation method. The advantage of multilabel learning over the single-label models was shown by label-wise analysis. Our study indicated that the proposed method ATC-NLSP, which adopts ideas from network research community and captures the correlation of labels in a data driven manner, is the top-performing model in the ATC prediction task. We believed that the power of NLSP remains to be unleashed for the multilabel learning tasks in drug discovery. The source codes are freely available at https://github.com/dqwei-lab/ATC.
Natural Breast Symmetry in Preoperative Breast Cancer Patients

Background: Plastic surgeons aim to achieve breast symmetry during cosmetic and reconstructive breast surgery. They rely on measures of breast size, position, and projection to determine and achieve breast symmetry, but normative data on symmetry in preoperative breast reconstruction patients are scarce. Methods: A statistical evaluation was performed to examine the relationship of breast symmetry to demographic and clinical factors such as age, body mass index (BMI), race, and cancer status in a sample population of 87 patients who were scheduled to undergo mastectomy and breast reconstruction. The sternal notch to nipple (SN-N) distance and breast volume were measured on three-dimensional images, and distance and volume ratios across the left and right breasts were compared to determine symmetry. Ptosis grades were recorded and grade agreement (match) across the left and right breasts was assessed to determine shape symmetry. Results: A substantial portion of women (41.4%) showed SN-N distance differences >5 mm and 50.6% exhibited a volume difference >50 mL between their right and left breasts. Multiple linear regression modeling did not show any association between age, BMI, and cancer status and the SN-N and volume ratios. Race showed an association with volume symmetry but not with SN-N symmetry. A higher BMI increased the likelihood of ptosis disagreement. Additionally, tumor size did not impact overall breast symmetry. Conclusion: This study provides normative data on the extent of breast asymmetry in preoperative patients that can guide physicians in setting realistic goals for reconstruction procedures and manage patients’ expectations related to outcomes.