Miracle-dz/UniFAR-FTUs huggingface dataset:
TRIM7 suppresses cell invasion and migration through inhibiting HIF‐1α accumulation in clear cell renal cell carcinoma

Clear cell renal cell carcinoma (ccRCC) is one frequent form of urologic malignancy characterized by deregulated hypoxia‐inducible factor signaling, genetic and epigenetic alterations. Metastasis is the leading cause of mortality from ccRCC, and understanding the underlying mechanism of this event will provide better strategies for its management. Here, we identify tripartite motif containing 7 (TRIM7) as a tumor suppressor in ccRCC cells, which negatively regulates hypoxia‐inducible factor 1α (HIF‐1α) signaling through targeting the proto‑oncogene Src. We observed the downregulated expression of TRIM7 in clinical ccRCC tissues and its correlation with the poor prognosis. In Caki‐1 cells, depletion of TRIM7 increased cell migration and invasion under normoxic and hypoxic conditions. TRIM7 markedly reduced the abundance of Src protein via the ubiquitin‐proteasome pathway. Further study showed that TRIM7 affected HIF‐1α accumulation through targeting either the Src‐triggered PI3K/AKT/mTOR signaling pathway or reactive oxygen species production. Overall, our findings highlight a novel mechanism for negative regulation of HIF‐1 signaling pathway by TRIM7 and define a promising therapeutic strategy for ccRCC by modulating TRIM7.
Analysis of Hand Tool Grips

An efficient measurement and evaluation system for hand tool tasks can provide a practical solution to the problem of designing and evaluating manual tool tasks in the workplace. Such a prototype system, termed the data glove, was developed by overlaying twelve Force Sensitive Resistors on an posture-measuring glove (Cyberglove™, Virtual Technologies, 1992) with eighteen joint angle sensors. To validate the data glove, hand posture and grip force was measured on sixteen different cylindrical grip tasks for six subjects. A factor analysis of the grip force distributions on the hand indicated that three major areas of force concentration occurred: 1) an area of high force levels termed the ‘active’ area, 2) an area of intermediate force levels termed the ‘support’ area, and 3) an area of low force levels termed the ‘inactive’ area. The different grips were also classified and ranked for levels of radian/ulnar deviation torques and flexion/extension torques, and then combined with the force information to yield a pattern of grip degradation with increasing levels of grip stress. A validation experiment comparing the data glove force output with the muscle surface EMG measurement yielded a significant, high correlation between the two measures.
Continuous authentication by analysis of keyboard typing characteristics

This paper describes a simple, software based keyboard monitoring system for the IBM PC for the continuous analysis of the typing characteristics of the user for the purpose of continuous authentication. By exploiting the electrical characteristics of the PC keyboard interface together with modifications to the internal system timer, very accurate measurements can be made of keystroke interval and duration, including measurements of rollover. Rollover patterns, particularly when typing common diphthongs, can be highly characteristic of individual users and provide quite an accurate indication of the users identity.
2022 ISFM Consensus Guidelines on the Management of Acute Pain in Cats

Practical relevance: Increases in cat ownership worldwide mean more cats are requiring veterinary care. Illness, trauma and surgery can result in acute pain, and effective management of pain is required for optimal feline welfare (ie, physical health and mental wellbeing). Validated pain assessment tools are available and pain management plans for the individual patient should incorporate pharmacological and non-pharmacological therapy. Preventive and multimodal analgesia, including local anaesthesia, are important principles of pain management, and the choice of analgesic drugs should take into account the type, severity and duration of pain, presence of comorbidities and avoidance of adverse effects. Nursing care, environmental modifications and cat friendly handling are likewise pivotal to the pain management plan, as is a team approach, involving the cat carer. Clinical challenges: Pain has traditionally been under-recognised in cats. Pain assessment tools are not widely implemented, and signs of pain in this species may be subtle. The unique challenges of feline metabolism and comorbidities may lead to undertreatment of pain and the development of peripheral and central sensitisation. Lack of availability or experience with various analgesic drugs may compromise effective pain management. Evidence base: These Guidelines have been created by a panel of experts and the International Society of Feline Medicine (ISFM) based on the available literature and the authors’ experience. They are aimed at general practitioners to assist in the assessment, prevention and management of acute pain in feline patients, and to provide a practical guide to selection and dosing of effective analgesic agents.
Study on the Optimize Strategies of Gene Expression Programming

The purpose of this paper is to improve the efficiency of the Gene Expression Programming (GEP) algorithm. The GEP algorithm is an evolutionary computation. It inherits the characteristics of Genetic Algorithm and Genetic Programming. Through its own characteristics, the GEP algorithm can get the optimal solution of the complicated problem. So, the GEP algorithm has achieved good results in many areas. However, there are also some inevitable drawbacks about the GEP algorithm itself. This paper proposes 5 deficiencies aspects of the GEP algorithm (expression meaning, fitness calculation, local convergence, variable selection, genetic operations, selection of genetic operation rates), and gives the corresponding solutions.
Backend service system of ship detection and plate recognition system based on deep learning

Acquiring the identity information of the ships passing through the canal and the sea automatically by intelligent equipment is helpful for the water transportation department to strengthen the management and is meaningful for the construction of the urban intelligent traffic management system and national defense security. However, this is challenging due to complex ship profile, ship license background and object occlusion, variations of ship license plate locations and text types. This paper proposes a backend service system for ship detection and plate recognition based on Yolov4 and PaddleOCR, and produces a dataset containing 54059 pictures. By setting up a Socket server, the system receives the image information sent by the front-end, uses the YOLOV4 target detection algorithm to identify the ship and locate the ship plate, and simultaneously uses the PaddleOCR character detection and recognition algorithm to locate and identify the characters in the image. After frame synchronization and data fusion of target detection result and character detection and recognition result, the result is transmitted to the front-end through Socket. The system can be deployed on Win10, Linux and embedded system, working reliably with high precision to meet the practical application.
Research on influencing factors of GNSS-R ocean remote sensing satellite efficiency index

In recent years, the emerging global navigation satellite system reflectometry (GNSS-R) technology has become a research hotspot for its lightweight, high sensitivity and rich technology application scenarios. It has broad application prospects in the field of remote sensing detection and navigation technology. The role of GNSS-R remote sensing satellite in the field of marine remote sensing is becoming increasingly prominent. The acquisition of data and information and the observation performance of GNSS-R remote sensing satellite are not only constrained by the remote sensing equipment itself, but also affected by the satellite orbit. Based on the technical characteristics of GNSS-R remote sensing satellite, this paper proposes a grid based coverage efficiency statistical method, analyzes some influencing factors of GNSS-R remote sensing satellite efficiency based on the remote sensing task, and analyzes the influence of each factor on GNSS-R remote sensing satellite efficiency by modeling -It can provide theoretical reference for GNSS-R satellite orbit selection and optimization, onboard load design optimization and large-scale system construction.
A GAN-based visible and infrared image fusion algorithm

In this paper，we propose a new GAN-based end-to-end image fusion network (VIFGAN) for fusion of visible and infrared images. VIFGAN contains a generator and a discriminator. We added the DenseNet module to the generator，and this module can extract deeper features and details. We also propose a Two-way regulation loss function(TWR-Loss). The loss function considers both the radiation information and texture information in the image, which can make the network suitable for image fusion tasks of different spectrum combinations. The experimental results show that in the fusion task of visible light and infrared images, the proposed network has better fusion performance than the existing fusion algorithm, the visual effect of the fused image is better, and the extracted details are more abundant.
Context-Driven Variability in Personality and Interpersonal Behavior: Evidence-Based Assessment Strategies

Abstract How can assessors capture context-driven variability in personality and interpersonal behavior in ways that are both empirically sound and clinically useful? Scott et al. (2021) offer one potential solution as they discuss the Relational Self-Schema Measure, designed to assess variations in the self-schema across different relationship domains (e.g., self-with-parents, self-with-friends). This Comment outlines an evidence-based framework for assessing variability in personality and interpersonal behavior, describing three strategies that may be used by practitioners in the clinic and beyond. These are: 1) complementing decontextualized personality test results with domain-specific self-report and performance-based test data; 2) employing ambulatory assessment techniques to capture contextual variations in responding in vivo; and 3) using nomothetic test results as a springboard for patient narrative, with patient and therapist working together to explore relationship-specific variations in personality and interpersonal behavior.
Intestinal Enteroid Monolayers Model the Human Intestinal Environment for Escherichia coli Infection

O157:H7 is difficult to study due to its high specificity for the human intestine and the lack of sufficiently complex human cell culture models. The recent development of human intestinal enteroids derived from intestinal crypt multipotent stem cells has allowed us to construct two-dimensional differentiated epithelial monolayers grown in transwells that mimic the human intestine. ABSTRACT Enterohemorrhagic Escherichia coli O157:H7 is an enteric pathogen responsible for bloody diarrhea, hemolytic uremic syndrome, and in severe cases, even death. The study of O157:H7 is difficult due to the high specificity of the bacteria for the human intestine, along with our lack of sufficiently complex human cell culture models. The recent development of human intestinal enteroids derived from intestinal crypt multipotent stem cells has allowed us to construct two-dimensional differentiated epithelial monolayers grown in transwells that mimic the human intestine. Unlike previous studies, saline was added to the apical surface, while maintaining culture media in the basolateral well. The monolayers continued to grow and differentiate with apical saline. Apical infection with O157:H7 or commensal E. coli resulted in robust bacterial growth from 105 to over 108 over 24 h. Despite this robust bacterial growth, commensal E. coli neither adhered to nor damaged the epithelial barrier over 30 h. However, O157:H7 was almost fully adhered (>90%) by 18 h with epithelial damage observed by 30 h. O157:H7 contains the locus of enterocyte effacement (LEE) pathogenicity island responsible for attachment and damage to the intestinal epithelium. Previous studies report the ability of nutrients such as biotin, d-serine, and L-fucose to downregulate LEE gene expression. O157:H7 treated with biotin or L-fucose, but not d-serine displayed both decreased attachment and reduced epithelial damage over 36 h. These data illustrate enteroid monolayers can serve as a suitable model for the study of O157:H7 pathogenesis, and identification of potential therapeutics. IMPORTANCE O157:H7 is difficult to study due to its high specificity for the human intestine and the lack of sufficiently complex human cell culture models. The recent development of human intestinal enteroids derived from intestinal crypt multipotent stem cells has allowed us to construct two-dimensional differentiated epithelial monolayers grown in transwells that mimic the human intestine. Our data illustrates enteroid monolayers can serve as a suitable model for the study of O157:H7 pathogenesis, and allow for identification of potential therapeutics.
“Prefrontal cortical contributions to working memory loading, maintenance and recall are parsed by hippocampal-prefrontal oscillatory assembly dynamics”

Working memory enables incorporation of recent experience into subsequent decision-making. This processing recruits both prefrontal cortex and hippocampus, where neurons encode task cues, rules and outcomes. However, precisely which information is carried when, and by which neurons, remains unclear. Using population decoding of activity in rat medial prefrontal cortex (mPFC) and dorsal hippocampal CA1, we confirm that mPFC populations lead in maintaining sample information across delays of an operant nonmatch to sample task, despite individual neurons firing only transiently. During sample encoding, distinct mPFC subpopulations joined distributed CA1-mPFC cell assemblies hallmarked by 4-5Hz rhythmic modulation; CA1-mPFC assemblies re-emerged during choice episodes, but were not 4-5Hz modulated. Delay-dependent errors arose when attenuated rhythmic assembly activity heralded collapse of sustained mPFC encoding; pharmacological disruption of CA1-mPFC assembly rhythmicity impaired task performance. Our results map component processes of memory-guided decisions onto heterogeneous CA1-mPFC subpopulations and the dynamics of physiologically distinct, distributed cell assemblies.
Different Excitation–Inhibition Correlations Between Spontaneous and Tone-evoked Activity in Primary Auditory Cortex Neurons

Tone-evoked synaptic excitation and inhibition are highly correlated in many neurons with V-shaped tuning curves in the primary auditory cortex of pentobarbital-anesthetized rats. In contrast, there is less correlation between spontaneous excitation and inhibition in visual cortex neurons under the same anesthetic conditions. However, it was not known whether the primary auditory cortex resembles visual cortex in having spontaneous excitation and inhibition that is less correlated than tone-evoked excitation and inhibition. Here we report whole-cell voltage-clamp measurements of spontaneous excitation and inhibition in primary auditory cortex neurons of pentobarbital-anesthetized rats. The larger excursions of both spontaneous excitatory and inhibitory currents appeared to consist of distinct events, with the inhibitory event rate typically lower than the excitatory event rate. We use the ratio of the excitatory event rate to the inhibitory event rate, and the assumption that the excitatory and inhibitory synaptic currents can each be reasonably described as a filtered Poisson process, to estimate the maximum spontaneous excitatory-inhibitory correlation for each neuron. In a subset of neurons, we also measured tone-evoked excitation and inhibition. In neurons with V-shaped tuning curves, although tone-evoked excitation and inhibition were highly correlated, the spontaneous inhibitory event rate was typically sufficiently lower than the spontaneous excitatory event rate to indicate a lower excitatory-inhibitory correlation for spontaneous activity than for tone-evoked responses.
DCASE 2018 task 2: iterative training, label smoothing, and background noise normalization for audio event tagging

This paper describes an approach from our submissions for DCASE 2018 Task 2: general-purpose audio tagging of Freesound content with AudioSet labels. To tackle the problem of diverse recording environments, we propose to use background noise normalization. To tackle the problem of noisy labels, we propose to use pseudo-label for automatic label veriﬁcation and label smoothing to reduce the over-ﬁtting. We train several convolutional neural networks with data augmentation and different input sizes for the automatic label veriﬁcation process. The label veriﬁcation procedure is promising to improve the quality of datasets for audio classiﬁcation. Our ensemble model ranked ﬁfth on the private leaderboard of the competition with an mAP@ 3 score of 0 . 9496 .
Towards the Development of Music Mood Classification of Original Pilipino Music (OPM) Songs Based on Audio and Lyrics Keyword

This paper presents music mood classification of Original Pilipino Music (OPM) songs, particularly Filipino songs using audio and lyrics information. The song's mood is expressed utilizing musical features, but a relevant part also seems to be conveyed by the keywords to its lyrics. The study evaluates with the help of two music teachers and music analysts each factor independently. It explores the possibility of combining both, using Natural Language Processing and Music Information Retrieval techniques. It shows that standard separation-based strategies and Latent Semantic Analysis can group the verses essentially superior to random. Yet, the exhibition is still very substandard compared to that of sound-based systems. The study presents a technique dependent on contrasts between language models that gives performances closer to sound-based classifiers—in addition, interwinding this in a multimodal framework, which is audio and text. It permits an improvement in the general execution. We exhibit that verses and sound data are corresponding and can be joined to improve an ordered framework.
International Journal of Emerging Electric Power Systems Detection of Saturation and Reconstruction of the Secondary Current of a CT

During a short circuit condition, core of a Current Transformer (CT) may become saturated due to large primary current containing a significant DC component. The saturation of the core distorts the secondary current which may cause malfunction of the protective devices connected to the CT. As a result of significant advances in the technology and deployment of digital relays in the last decade, the distorted secondary current can be reconstructed in a very short time. Several methods, which take into account the non-linear behavior of the CT, have been researched in the recent past. Processing time, accuracy, and online implementation are of prime importance while selecting a particular algorithm. In this paper, a comprehensive review of the different algorithms used for the detection of saturation as well as reconstruction of the distorted secondary current is presented.
A Correlational Analysis Between Time Spent on Playing Video Games and Real-Life Skills of 1st Year and 2nd Year Students of National University-Manila's Wizard's Circle

Video game is an electronic game that involves interaction among users or other players within a specific platform. Video gaming has been around for a long time that it became one of the most significant money-making industries. Moreover, most people who do not understand how the game works might think that reading books or listening to podcast is much better than playing video games, not realizing that it is a coping mechanism for some individuals. The researchers conducted a correlational study analysis between time spent on playing video games and real-life skills. A lot of students find comfort and relaxation while playing these games, not realizing the skills they could acquire and enhance. Several studies suggest that playing video games can enhance real-life skills, which we use in school, work, or in a daily basis. As Barr discussed, playing video games for an average of fourteen (14) hours per day can improve one's graduate attributes. Various studies also concluded that video games could exercise students’ logical skills, resilience, and critical thinking skills. This research comprises six (6) real-life skills: Problem-Solving Skills, Strategical-Thinking Skills, Reaction Time, Communication Skills, Decision-Making Skills, and Critical-Thinking Skills. The three (3) skills were interpreted by a six (6) point-Likert Scale. While the reaction time skill was tested thru the use of the human benchmark website reaction time test. On the other hand, the critical thinking skill was divided into five (5) sections: Arguments, Assumptions, Deductions, Interpreting information, and Inferences. The researchers chose the quantitative approach by conducting an online survey and the sampling technique used to acquire the data is the voluntary response sampling technique. Once data is gathered, each skill's overall correlation coefficient was computed using Pearson's' R formula. Results show that out of the six (6) skills the greatest improvement goes to the communication skill, followed by the strategical thinking skill, the reaction time, the critical thinking, the decision making and lastly, the problem-solving skill. This study's objective is to determine whether players’ long hours of gaming enhance real-life skills and use it in real-life situations.
Unveiling the Factors Influencing Consumers' Continuance Intention to Use a Subscription Box

∗ This article provides more in-depth insights into the cause-and-effect relationship between each construct. A quantitative methods approach is used in this study to explore and examine factors influencing consumers’ continuance intention of a subscription box. The investigation explores the question, how to influence consumer continuance intention to use subscription boxes? We distribute questionnaires to subscription box consumers in the U.K., Europe, Oceania, Middle East and Africa, America, and Asia. Moreover, we applied structural equation modeling by PLS for data analysis and tested the model with survey data from 176 consumers. The results show that perceived variety, perceived convenience, perceived enjoyment, and variety-seeking tendencies significantly influence consumer continuance intention mediating by satisfaction. While value for money perceived surprise, personalization, and consumer innovativeness has no significance. The findings have practical implications for sellers and companies, directing what variables to concentrate on to improve the subscription box’s consumer continuance intention.
Data Protection Measures in E-Society: Policy Implications of British Data Protection Act to China

∗Big data-related topics are very fashionable in recent years. However, the problems brought by big data are also emerging one after another. For example, the big data society has brought social security, personal privacy, national security interests, secret protection and other issues, and may also threaten the national economy. Typically, the phenomenon of personal privacy information are abused, stolen, fraudulently used, and data transactions are prevalent. Although China has relevant policy documents to protect personal privacy information, it has not yet formed a special legal system, and the policy documents are scattered. Besides, the enforcement and validity of these documents are difficult to guarantee. The British Data Protection Act is specific legislation on data protection of personal privacy information. As a pioneer of data protection, the British Data Protection Act has been dramatically improved after several revisions. It can effectively protect consumers’ privacy information, which is a piece of legislation worth learning in China.