Miracle-dz/UniFAR-FTUs huggingface dataset:
Interoception, alexithymia, and anxiety among individuals with alcohol use disorder

Background Interoception (i.e., the ability to recognize bodily signals), alexithymia (i.e., the inability to recognize emotional states) and negative affect (i.e., unpleasant feelings such as anxiety) have been associated with alcohol use disorder (AUD). Previous research suggests that interoception may underlie alexithymia, which in turn may be associated with negative affectivity. However, this remains to be empirically tested. This study investigates whether alexithymia mediates the association between interoception and anxiety and whether this association differs across individuals with AUD and a healthy control (HC) comparison group. Methods The AUD group consisted of 99 participants enrolled in an 8-week abstinence-based inpatient treatment program. The HC group included 103 healthy individuals. The heartbeat counting task (HCT) was used to assess interoception (cardiac interoceptive accuracy). The Toronto Alexithymia Scale (TAS-20) was used to assess alexithymia. The Brief Symptom Inventory (BSI) was used to assess anxiety. Results The moderated mediation model with interoception as the predictor, alexithymia as the mediator, and negative affect (i.e., state anxiety) as the dependent variable was tested. The analysis showed that the conditional indirect effect of interoception on anxiety via alexithymia was significant for individuals with AUD [ab = −0.300, bootstrap 95% CI = (−0.618, −0.088)], as well as for HCs [ab = −0.088, bootstrap 95% CI = (−0.195, −0.014)]; however, the conditional indirect effect significantly differed across HCs and individuals with AUD. Namely, the mediated effect was greater among individuals with AUD compared to the HC group. Conclusion The results suggests that interoceptive impairment contributes to greater negative affect (i.e., state anxiety) via alexithymia especially for individuals with AUD. Improving emotion recognition via therapeutic methods focused on strengthening interoceptive abilities could improve outcomes for individuals receiving treatment for AUD.
Unsupervised Domain Adaptation for Source Localization Using Ships of Opportunity With a Deep Vertical Line Array

Deep-learning source localization methods trained on synthetic replicas calculated by acoustic propagation models (referred to as model-based source localization methods via deep learning) suffer from environmental mismatches between replicas and measurements, which degrade the localization performance. This article introduces deep transfer learning (DTL), specifically the unsupervised domain adaptation (UDA) and fine-tuning methods for source localization using ships of opportunity (SOO) to alleviate the influence of mismatched replicas. First, the range estimation network is trained using simulated replicas and unlabeled SOO data. Subsequently, the parameters of the ranging network are transferred to a depth estimation network and fine-tuned accordingly. Simulation results demonstrate that the proposed method (UDA-DTL) exhibits greater robustness to array tilt and sound speed profile mismatches in the direct arrival zone compared to the Bartlett processor and the ResNet estimator. Experimental data from the South China Sea also verified the validity of the proposed UDA-DTL estimator. The results demonstrate that supplementing model-based supervised learning with unlabeled SOO, the impact of unknown uncertainty on the localization performance is alleviated. This study highlights the potential to utilize unlabeled Big Data in applications of underwater source localization.
Developing an automated valuation model for estimating land values in Limassol

This study employs the statistical method of Multiple Linear Regression analysis (MLR) to develop an Automated Valuation Model (AVM) for estimating land values by utilizing transaction-based data in Limassol, Cyprus. The authors focus on the confidence level and accuracy of the value estimated by an AVM. Thus, the developed AVM was tested in two contrasting areas of Limassol in terms of location characteristics and market conditions. Most AVMs contain a statistical method to generate the estimated value of a real estate property. However, the outcome of a statistical method is verified by statistical measures. Therefore, if the validation of the predicted value for its accuracy derives from the statistical metrics of the model, then the explanatory variables cannot remain constant. It is implied that the AVM in order to grant the highest statistical metrics for a given property valuation requires different combination of independent variables in different locations, which means that the parameters of the model should change or adjust for every case to obtain the best fit model. The authors demonstrate that the best fit model is obtained when several models are executed with alternative combinations of variables. Hence, the best fit to the regression is given by the model with the better statistical measures when compared to the other models. Consequently, the predicted value is supported by statistical significance and can be adopted at a high confidence level.
Thermomechanical Challenges of 2.5-D Packaging: A Review of Warpage and Interconnect Reliability

Advanced packaging technology, also known as system scaling, bridges the gap between chip and package sizes by mounting multiple chips on a single package substrate. 2.5-D packaging utilizing a passive device has been widely adopted and showed enhanced capacity and performance. However, 2.5-D packaging presents its own challenges related to thermomechanical reliability because of the large size of the silicon interposer. This article reviews academic and industrial efforts to address the thermomechanical challenges associated with 2.5-D packaging, particularly silicon interposers, focusing on the warpage and board-level interconnect reliability. The topics include simulation and measurement methods to evaluate and predict the thermomechanical characteristics of package components, such as warpage and strain distribution, as well as fatigue and lifetime of ball grid arrays. The impacts of materials and geometrical design factors are also discussed. Finally, challenges of current approaches and outlooks are presented.
A Two-Stage Emotion Generation Model Combining CGAN and pix2pix

Computer vision has made significant advancements in emotional design. Designers can now utilize computer vision to create emotionally captivating designs that deeply resonate with people. This article aims at enhancing emotional design selection by separating appearance and color. A two-stage emotional design method is proposed, which yields significantly better results compared to classical single-stage methods. In the Radboud face dataset (RaFD), facial expressions primarily rely on appearance, while color plays a relatively smaller role. Therefore, the two-stage model presented in this article can focus on shape design. By utilizing the SSIM image quality evaluation index, our model demonstrates a 31.63% improvement in generation performance compared to the CGAN model. Additionally, the PSNR image quality evaluation index shows a 10.78% enhancement in generation performance. The proposed model achieves superior design results and introduces various design elements.This article exhibits certain improvements in design effectiveness and scalability compared to conventional models.
Interictal epileptiform discharges in Alzheimer’s disease: prevalence, relevance, and controversies

Alzheimer’s disease (AD) is the most common type of dementia and remains an incurable, progressive disease with limited disease-modifying interventions available. In patients with AD, interictal epileptiform discharges (IEDs) have been identified in up to 54% of combined cohorts of mild cognitive impairment (MCI) or mild dementia and are a marker of a more aggressive disease course. Studies assessing the role of IEDs in AD are limited by the lack of standardization in the definition of IEDs or the different neurophysiologic techniques used to capture them. IEDs are an appealing treatment target given the availability of EEG and anti-seizure medications. There remains uncertainty regarding when to treat IEDs, the optimal drug and dose for treatment, and the impact of treatment on disease course. This review covers the state of knowledge of the field of IEDs in AD, and the steps needed to move the field forward.
Simulating Aerial Migrations through Use of Empirical Movement Models

Aerial migrations are historically difficult to observe and quantify, especially the environment in which these migration take place. However, with increasingly accurate tracking methods and international datasets containing remote sensing and weather renalyses, it is becoming easier to observe this environment and find the conditions that mostly affect the migrants. Track annotation is the method of combining the tracking data with the environmental data, and can be used to create models of the animals’ movement. I performed a track annotation of Swainson’s thrush and created an empirical model based on the environmental conditions that mostly affect the flight. A Swainson’s thrush ( Catharus ustulatus ) is a small songbird that migrates from northeastern North America to Central and South America in the winter. This annual migration involves a 1000-kilometer trip across the Gulf of Mexico. Little is known about the details surrounding this annual flight, including the variables that affect the flight itself. In a National Science Foundation (NSF) funded experiment, the thrushes are tracked by a radio transmitter which allows us to record arrival and departure timestamps of the transGulf flight. The Environmental-Data Automated Track Annotation (Env-DATA) system—a data exploration system developed through Movebank (www.movebank.org) and The Ohio State University allows us to link the movement track with data from global and regional weather reanalysis models and remote sensing. I annotated the movement tracks with several different environmental variables and followed a hierarchal process to build a series of empirical movement models. I concluded that the combination of boundary layer height and wind speed most strongly affect the flight.
Composition of precipitation, bulk deposition, and runoff at a granitic bedrock catchment in the Loch Vale watershed, Colorado, USA

The chemical composition of precipitation, bulk deposition, and runoff from a 30-m 2 granitic bedrock catchment in the Loch Vale Watershed in Rocky Mountain National Park was monitored over a 6- week period in the summer of 1994 to determine the importance of dry deposition in the alpine zone. Concentrations of acid anions and base cations were 1.1 to 4 times higher in bulk deposition than in precipitation. Concentrations of the same solutes were 3 to 10 times higher in runoff from the bedrock catchment than in bulk deposition, and during individual runoff events, the concentrations of most ions were highest in the initial runoff. Evaporation from the rock surface accounted for only a 15% increase in solute concentrations indicating that most of the dissolved load in bedrock runoff is derived from the dissolution of dry deposition that accumulates on the bedrock between storm events. These results indicate that dry deposition may be an important source of solutes to this alpine ecosystem.
The correlation between two potentially antagonistic human adipocytokines, WISP-1 and CTRP1, and their association with insulin resistance.

INTRODUCTION AND OBJECTIVE Wnt-1 signaling pathway protein 1 (WISP-1) and complement-C1q TNF-related protein 1 (CTRP1) are adipokines with possible opposite effects in regulating insulin sensitivity. The study investigated the correlation between circulating WISP-1 and CTRP1 in non-diabetic patients. Correlations between adipokines concentrations and biochemical and anthropometric parameters were also studied. MATERIAL AND METHODS The cross-sectional study enrolled 107 adult patients without diabetes. Patients with obesity accounted for 52.3% of the study group. Clinical, anthropometric, and laboratory data, including serum levels of WISP-1 and CTRP1, were obtained. RESULTS The moderate positive correlation between serum WISP-1 and CTRP1 concentrations was observed (p<0.000001, r=0.49). The correlation was more substantial in non-obese patients than in the obese group (r=0.66 and r=0.36, respectively; p<0.01). Circulating CTRP1 correlated positively with fasting insulin, Homeostatic Model Assessment for Insulin Resistance (HOMA-IR), total cholesterol, HDL cholesterol, and LDL cholesterol (p<0.05). WISP-1 level correlated with total cholesterol and HDL cholesterol concentrations (p<0.05). There was no significant difference in WISP-1 and CTRP1 concentrations between the groups with and without insulin resistance. The concentrations of WISP-1 and CTRP1 were significantly higher in females than in males (p<0.05). CONCLUSIONS WISP-1 and CTRP1 may represent interrelated factors that antagonistically affect insulin resistance.
Detection of Alpha- and Betacoronaviruses in Small Mammals in Western Yunnan Province, China

The genetic diversity of coronaviruses (CoVs) is high, and their infection in animals has not yet been fully revealed. By RT-PCR detection of the partial RNA-dependent RNA polymerase (RdRp) gene of CoVs, we screened a total of 502 small mammals in the Dali and Nujiang prefectures of Western Yunnan Province, China. The number of overall CoV positives was 20, including β-CoV (n = 13) and α-CoV (n = 7), with a 3.98% prevalence in rectal tissue samples. The identity of the partial RdRp genes obtained for 13 strains of β-CoV was 83.42–99.23% at the nucleotide level, and it is worth noting that the two strains from Kachin red-backed voles showed high identity to BOV-36/IND/2015 from Indian bovines and DcCoV-HKU23 from dromedary camels (Camelus dromedarius) in Morocco; the nucleotide identity was between 97.86 and 98.33%. Similarly, the identity of the seven strains of α-CoV among the partial RdRp sequences was 94.00–99.18% at nucleotide levels. The viral load in different tissues was measured by quantitative RT-PCR (qRT-PCR). The average CoV viral load in small mammalian rectal tissue was 1.35 × 106 copies/g; differently, the mean CoV viral load in liver, heart, lung, spleen, and kidney tissue was from 0.97 × 103 to 3.95 × 103 copies/g, which revealed that CoV has extensive tropism in rectal tissue in small mammals (p < 0.0001). These results revealed the genetic diversity, epidemiology, and infective tropism of α-CoV and β-CoV in small mammals from Dali and Nujiang, which deepens the comprehension of the retention and infection of coronavirus in natural hosts.
PENGARUH LOKASI, CITRA MEREK DAN WORD OF MOUTH TERHADAP KEPUTUSAN PEMBELIAN KONSUMEN MIE AYAM SOLO BANGSAL JEMBER

Penelitian ini dilakukan pada pelanggan Mie Ayam Solo Bangsal Jember. Penelitian ini bertujuan untuk mengetahui pengaruh lokasi, citra merek dan word of mouth terhadap keputusan pembelian konsumen. Dalam penelitian ini data dikumpulkan dengan alat bantu berupa observasi, wawancara dan kuesioner terhadap 90 responden dengan teknik purposive sampling , yang bertujuan untuk mengetahui persepsi responden terhadap masing-masing variabel. Analisis yang digunakan meliputi uji instrumen data (uji validitas, dan uji reliabilitas), analisis regresi linear berganda, uji asumsi klasik, dan uji hipotesis (uji t, koefisien determinasi). Dari hasil analisis menggunakan regresi dapat diketahui bahwa variabel lokasi, citra merek dan word of mouth , semuanya berpengaruh positif terhadap keputusan pembelian konsumen. Dari uji t diperoleh hasil lokasi, citra merek dan word of mouth , semuanya berpengaruh signifikan terhadap keputusan pembelian konsumen.
GIN: Generative INvariant Shape Prior for Amodal Instance Segmentation

Amodal instance segmentation (AIS) predicts the complete shape of the occluded object, including both visible and occluded regions. Because visual clues are lacking, the occluded region is difficult to segment accurately. In human amodal perception, shape-prior knowledge is helpful for AIS. The previous method uses a 2D shape prior by rote memorizing, establishing a shape dictionary and retrieving the closest mask to the segmentation result. However, this approach cannot obtain the shape prior, which is not prestored in the shape dictionary. In this article, to improve generalization ability, we propose a generative invariant shape-prior network (GIN), simulating the human perception process that learns the basic shape, which is invariant to transformations, including translation, rotation, and scaling. We design a novel framework that decouples the learning of shape priors from transformation. GIN is end-to-end trainable and needs no dictionary establishment, making the whole pipeline efficient. GIN outperforms state-of-the-art methods on three public datasets (D2SA, COCOA-cls, and KINS) with large margins.
Recherche de réservoirs de la leptospirose à Madagascar par la technique d'amplification génique.

RESUME : La presence de leptospirose avait ete suspectee a Madagascar a la suite des premieres enquetes serologiques dans les annees 1950, realisees chez des bovins et chez des patients. Cependant, aucun reservoir de leptospires n’avait pu etre mis en evidence par la bacteriologie. Dans cette etude, il a ete fait appel a la technique de PCR (Polymerase Chain Reaction) qui consiste a amplifier un fragment d’ADN du gene rrs de Leptospira interrogans pour rechercher l’eventuel reservoir animal de leptospires a Madagascar. Les tests realises chez 115 rats, 50 zebus et 13 porcs ont ete tous negatifs. Les anticorps ont ete egalement recherches chez 105 sujets professionnellement exposes a cette infection. La serologie etait negative pour tous sauf pour un sujet faiblement seropositif. Ces resultats n’ont pas permis de mettre en evidence un reservoir animal de leptospires. Cette maladie, si elle existe, devrait etre rare a Madagascar. Mots-cles : Leptospirose - Reservoir - Amplification genique - Serologie - Madagascar.
ESTUDIO CINÉTICO DE LA DEGRADACIÓN TÉRMICA DE QUITINA Y QUITOSANO DE CAMARÓN DE LA ESPECIE "HETEROCARPUS VICARIUS" EMPLEANDO LA TÉCNICA TERMOGRAVIMÉTRICA EN MODO DINÁMICO

espanolSe analizo la cinetica de degradacion termica de la quitina y el quitosano utilizando la tecnica termogravimetrica (TGA) en modo dinamico. El analisis TGA se llevo a cabo en atmosfera inerte de nitrogeno, utilizando un ambito de temperaturas de 30 hasta 600oC, ademas con valores de rapidez de calentamiento (B) de 5, 10, 15, 20, 25 y 30 grado/min. Se aplicaron los modelos cineticos de degradacion de Ozawa, Friedman, Kissinger y Broido. Para la degradacion del quitosano todos los modelos aplicados presentaron buen ajuste, por otro lado para la quitina el comportamiento fue diferente, puesto que el unico modelo que presento un buen ajuste lineal fue el de Broido. A partir de los termogramas obtenidos se determino que la temperatura de descomposicion es mayor para la quitina que para el quitosano, esto debido a la mayor cristalinidad y menor grado de polimerizacion de la quitina. No obstante, en los valores cineticos, se obtuvo una mayor energia de activacion para el quitosano, producto del entrecruzamiento propiciado por el grupo amino libre. En la aplicacion del modelo de Ozawa para quitosano se manifesto el efecto de compensacion cinetica, de manera que al darse un aumento de la energia de activacion, el factor preexponencial incrementa, manteniendo el valor de la constante de velocidad invariable. EnglishIn this research, the kinetics of thermal degradation of chitin and chitosan using thermogravimetric technique (TGA) in dynamic mode were studied. TGA analysis was carried out in an inert atmosphere of nitrogen, using a range of temperatures from 30 to 600oC, in addition to rapidly heating values (B) of 5, 10, 15, 20, 25 and 30 degree/min. Kinetic models were applied degradation Ozawa, Friedman, Kissinger and Broido. For the degradation of chitosan all models applied presented good adjustment, on the other hand for the chitin behavior was different, as the only model that presented a good adjustment linear was that of Broido. From the termogramas obtained was determined that the decomposition temperature is higher for the chitin that for the chitosan, this is due to the greater crystallinity and a lower level of polymerization of the chitin. However, in the values kinetic, was obtained greater activation energy for the chitosan, a product of interbreeding led by the group amino free. In the implementation of the model of Ozawa for chitosan expressed the effect of compensation kinetics, so that to be an increase of the activation energy, the factor preexponencial increases, maintaining the value of the rate constant change.
Material and social remittances in highland Ecuador

This thesis explores the material and non-material transfers from and to two rural settings in Andean Ecuador. Within the broad realm of the research on remittances, it explores in depth the type, nature, composition, uses, meanings, re-workings and negotiations of the transfers between migrant and non-migrant villagers. Two villages in the Ecuadorian highland provinces of Azuay and Loja are the main research locations. These two provinces receive high remittance transfers, albeit from different origins: remittances to Azuay mainly originate in the US, whereas remittances to Loja are very likely to come from Spain and Italy. Due to very different socio-cultural features and different forms of migrants’ integration in the two destination areas, these two highland Ecuadorian provinces provide an excellent comparative context to research material and social remittances. Fieldwork was carried out in migrants’ villages of origin as well as in their new places of residence. This multi-sited ethnography was supported by a mixed-method approach involving a questionnaire (to gather information about material remittances), interviews (to shed light on social remittances) and participant observation (to provide the broader context for comprehending nuances in the data). This research incorporates socio-demographic variables, such as gender, family structure and generation, in the analysis of material remittances. The relationship between remittance senders and receivers, that is usually overlooked, is regarded as a very important locus of power and negotiations. A refined typology of material remittances, taking into account remittance senders, receivers and non-receivers, is also provided. Finally, there is a microethnographic account of material remittances’ uses which problematizes over-simplistic pictures of remittance expenditure by embedding remittances into broader socio-cultural contexts. Surprisingly, given the large amount of academic work on remittances, there are still unexplored areas. Social remittances are one such area. By systematically researching social remittances, this thesis adds to the limited existing theoretical knowledge on social remittances, providing new information on their creation and content.