Miracle-dz/UniFAR-FTUs huggingface dataset:
A Call for Incorporating Social Research in the Global Struggle against Snakebite

In Africa, Asia, Latin America, and parts of Oceania, envenoming after snakebite is a serious public health problem [1]. Conservative data suggest that between 1.2 and 5.5 million people suffer snakebites every year, resulting in 25,000 to 125,000 deaths and leaving approximately 400,000 victims with permanent sequelae [2,3]. Despite its significant impact on human health, this disease remains largely neglected by national and international health authorities, funding agencies, pharmaceutical companies, patients’ organizations, and health advocacy groups [1,2]. Most initiatives aiming to study snakes, snake venoms, and snakebite envenoming and its treatment approach the problem from a biomedical and technological perspective. Notwithstanding the substantial scientific and clinical legacy generated through this view, significant gaps remain in our understanding of other highly relevant aspects of this problem and its solutions. The emerging field of global health has brought about a more holistic approach to health issues by incorporating a “biosocial approach” to the understanding of diseases and the circumstances behind their occurrence [4]. The centrepiece of this approach is the integration of biomedical aspects—including etiology, pathophysiology, diagnosis, and therapy—with the analysis of the social, economic, psychological, cultural, and political contexts in which diseases occur. Snakebite envenoming is predominantly a disease of the poor [5], with the highest incidence and severity seen in regions facing complex and interrelated social and economic problems. Understanding how this interplay of variables influences both the circumstances leading to snakebite injury and its consequences is crucial to developing successful strategies to mitigate the problem. A comprehensive multidisciplinary approach incorporating social research into the study of snakebite envenoming is needed. Hereby, we aim to increase awareness of the following areas where reinvigorated social research would be highly beneficial.
Evaluation of Urethral Stent Placement for Benign Urethral Obstructions in Dogs

Background Benign urethral obstructions (BUO) in dogs result in substantial morbidity because of challenges with conventional therapies. Treatment of malignant urethral obstructions with intraluminal urethral stents is reported to successfully relieve obstructions. Hypothesis/Objectives To evaluate the efficacy and outcome of urethral stent placement for treatment of BUO in dogs. Animals Eleven client‐owned animals with urethral stents placed for treatment of BUO. Methods Retrospective study in which medical records were reviewed in dogs diagnosed with BUO and treated with a metallic urethral stent. Data collected included signalment, cause of benign obstruction, procedure time, size and type of stent, complications, and short‐ and long‐term outcome. Results Eleven dogs with 15 urethral stents were included. Intraluminal urethral stent(s) relieved the obstructions in all dogs. Four dogs had 2 stents placed in separate procedures because of incomplete patency after treatment (n = 1), inadvertent compression of the stent (n = 1), or tissue ingrowth through the stent (n = 2). The median continence score after stent placement was 10 of 10 (range 3–10) with 6 dogs being continent, 3 mildly incontinent, and 1 each moderately and severely incontinent. All owners considered their dog to have an excellent long‐term clinical outcome with long‐term urethral patency. The median follow‐up time was 24 months (range 4–48). Conclusions and Clinical Importance Urethral stents appear to be an effective treatment for benign urinary obstructions. Moderate to severe incontinence developed in a minority (12.5%) of dogs. Stents relieved obstructions in all dogs with an excellent long‐term outcome.
Sub-atomic field processing for improved web log compression

Web log files, storing user activity on a server, may grow at the pace of hundreds of megabytes a day, or even more, on popular sites. It makes sense to archive old logs, to analyze them further, e.g., for detecting attacks or other server abuse patterns. In this work we present a specialized lossless Apache web log preprocessor and test it with combination of several popular general-purpose compressors. Our method works on individual fields of log data (each storing such information like the client's IP, date/time, requested file or query, download size in bytes, etc.), and utilizes such compression techniques like finding and extracting common prefixes and suffixes, dictionary -based phrase sequence substitution, move -to-front coding, and more. The test results show the proposed transform improves the average compression ratios 2.64 times in case of gzip and 1.83 times in case of bzip2.
Biologically Based Methods for Pest Management in Agriculture under Changing Climates: Challenges and Future Directions

The current changes in global climatic regimes present a significant societal challenge, affecting in all likelihood insect physiology, biochemistry, biogeography and population dynamics. With the increasing resistance of many insect pest species to chemical insecticides and an increasing organic food market, pest control strategies are slowly shifting towards more sustainable, ecologically sound and economically viable options. Biologically based pest management strategies present such opportunities through predation or parasitism of pests and plant direct or indirect defense mechanisms that can all be important components of sustainable integrated pest management programs. Inevitably, the efficacy of biological control systems is highly dependent on natural enemy-prey interactions, which will likely be modified by changing climates. Therefore, knowledge of how insect pests and their natural enemies respond to climate variation is of fundamental importance in understanding biological insect pest management under global climate change. Here, we discuss biological control, its challenges under climate change scenarios and how increased global temperatures will require adaptive management strategies to cope with changing status of insects and their natural enemies.
A Universal Compression Perspective of Smoothing Nikola

We analyze smoothing algorithms from a universal-compression perspective. Instead of evaluating their performance on an empirical sample, we analyze their performance on the most inconvenient sample possible. Consequently the performance of the algorithm can be guaranteed even on unseen data. We show that universal compression bounds can explain the empirical performance of several smoothing methods. We also describe a new interpolated additive smoothing algorithm, and show that it has lower training complexity and better compression performance than existing smoothing techniques.
KDM2A integrates DNA and histone modification signals through a CXXC/PHD module and direct interaction with HP1

Abstract Functional genomic elements are marked by characteristic DNA and histone modification signatures. How combinatorial chromatin modification states are recognized by epigenetic reader proteins and how this is linked to their biological function is largely unknown. Here we provide a detailed molecular analysis of chromatin recognition by the lysine demethylase KDM2A. Using biochemical approaches we identify a nucleosome interaction module within KDM2A consisting of a CXXC type zinc finger, a PHD domain and a newly identified Heterochromatin Protein 1 (HP1) interaction motif that mediates direct binding between KDM2A and HP1. This nucleosome interaction module enables KDM2A to decode nucleosomal H3K9me3 modification in addition to CpG methylation signals. The multivalent engagement with DNA and HP1 results in a nucleosome binding circuit in which KDM2A can be recruited to H3K9me3-modified chromatin through HP1, and HP1 can be recruited to unmodified chromatin by KDM2A. A KDM2A mutant deficient in HP1-binding is inactive in an in vivo overexpression assay in zebrafish embryos demonstrating that the HP1 interaction is essential for KDM2A function. Our results reveal a complex regulation of chromatin binding for both KDM2A and HP1 that is modulated by DNA- and H3K9-methylation, and suggest a direct role for KDM2A in chromatin silencing.
CoCl2, a Mimic of Hypoxia, Induces Formation of Polyploid Giant Cells with Stem Characteristics in Colon Cancer

The induction of polyploidy is considered the reproductive end of cells, but there is evidence that polyploid giant cancer cells (PGCCs) contribute to cell repopulation during tumor relapse. However, the role of these cells in the development, progression and response to therapy in colon cancer remains undefined. Therefore, the main objective of this study was to investigate the generation of PGCCs in colon cancer cells and identify mechanisms of formation. Treatment of HCT-116 and Caco-2 colon cancer cells with the hypoxia mimic CoCl2 induced the formation of cells with larger cell and nuclear size (PGCCs), while the cells with normal morphology were selectively eliminated. Cytometric analysis showed that CoCl2 treatment induced G2 cell cycle arrest and the generation of a polyploid cell subpopulation with increased cellular DNA content. Polyploidy of hypoxia-induced PGCCs was confirmed by FISH analysis. Furthermore, CoCl2 treatment effectively induced the stabilization of HIF-1α, the differential expression of a truncated form of p53 (p47) and decreased levels of cyclin D1, indicating molecular mechanisms associated with cell cycle arrest at G2. Generation of PGCCs also contributed to expansion of a cell subpopulation with cancer stem cells (CSCs) characteristics, as indicated by colonosphere formation assays, and enhanced chemoresistance to 5-fluorouracil and oxaliplatin. In conclusion, the pharmacological induction of hypoxia in colon cancer cells causes the formation of PGCCs, the expansion of a cell subpopulation with CSC characteristics and chemoresistance. The molecular mechanisms involved, including the stabilization of HIF-1 α, the involvement of p53/p47 isoform and cell cycle arrest at G2, suggest novel targets to prevent tumor relapse and treatment failure in colon cancer.
Near Optimal Broadcast with Network Coding in Large Homogeneous Wireless Sensor Networks

We propose an efficient broadcast algorithm for wireless sensor networks, based on network coding: we introduce a simple rate selection and analyze its performance (through computation of min-cut). By broadcast, we mean sending data from one source to all the other nodes in the network, and our metric for efficiency is the number of transmissions necessary to transmit one packet from the source to every destination. We address this problem, in some special cases of wireless “homogeneous” sensor networks contained of the plane: wireless lattice networks, and dense unit disk networks. Our results are based on the simple principle of Increased Rate for Exceptional Nodes, Identical Rate for Other Nodes (IREN/IRON), for setting rates on the nodes (wireless links) of the network. With this rate selection, we give a value of the maximum broadcast rate of the source: our central result is a proof of the value of the min-cut for such networks.
New Perspectives on How to Discover Drugs from Herbal Medicines: CAM's Outstanding Contribution to Modern Therapeutics

With tens of thousands of plant species on earth, we are endowed with an enormous wealth of medicinal remedies from Mother Nature. Natural products and their derivatives represent more than 50% of all the drugs in modern therapeutics. Because of the low success rate and huge capital investment need, the research and development of conventional drugs are very costly and difficult. Over the past few decades, researchers have focused on drug discovery from herbal medicines or botanical sources, an important group of complementary and alternative medicine (CAM) therapy. With a long history of herbal usage for the clinical management of a variety of diseases in indigenous cultures, the success rate of developing a new drug from herbal medicinal preparations should, in theory, be higher than that from chemical synthesis. While the endeavor for drug discovery from herbal medicines is “experience driven,” the search for a therapeutically useful synthetic drug, like “looking for a needle in a haystack,” is a daunting task. In this paper, we first illustrated various approaches of drug discovery from herbal medicines. Typical examples of successful drug discovery from botanical sources were given. In addition, problems in drug discovery from herbal medicines were described and possible solutions were proposed. The prospect of drug discovery from herbal medicines in the postgenomic era was made with the provision of future directions in this area of drug development.
Magnetic tweezers measurements of the nanomechanical stability of DNA against denaturation at various conditions of pH and ionic strength

The opening of DNA double strands is extremely relevant to several biological functions, such as replication and transcription or binding of specific proteins. Such opening phenomenon is particularly sensitive to the aqueous solvent conditions in which the DNA molecule is dispersed, as it can be observed by considering the classical dependence of DNA melting temperature on pH and salt concentration. In the present work, we report a single-molecule study of the stability of DNA against denaturation when subjected to changes in solvent. We investigated the appearance of DNA instability under specific external applied force and imposed twist values, which was revealed by an increase in the temporal fluctuations in the DNA extension. These fluctuations occur in the presence of a continuous interval of equilibrium states, ranging from a plectonemic state to a state characterized by denaturation bubbles. In particular, we observe the fluctuations only around a characteristic force value. Moreover, this characteristic force is demonstrated to be notably sensitive to variations in the pH and ionic strength. Finally, an extension of a theoretical model of plectoneme formation is used to estimate the average denaturation energy, which is found to be linearly correlated to the melting temperature of the DNA double strands.
Phase estimation for signal reconstruction in single-channel source separation

Single-channel speech separation algorithms frequently ignore the issue of accurate phase estimation while reconstructing the enhanced signal. Instead, they directly employ the mixed-signal phase for signal reconstruction which leads to undesired traces of the interfering source in the target signal. In this paper, assuming a given knowledge of signal spectrum amplitude, we present a solution to estimate the phase information for signal reconstruction of the sources from a single-channel mixture observation. We first investigate the effectiveness of the proposed phase estimation method employing known magnitude spectra of sources as an ideal case. We further relax the ideal signal spectra assumption by perturbing the clean signal spectra via Gaussian noise. The results show that for both scenarios, ideal and noisy magnitude signal spectra, the proposed phase estimation approach offers improved signal reconstruction accuracy, segmental SNR and PESQ compared to benchmark methods, and those neglecting the phase information.
Spoken language development in children with cochlear implants

Background: Large variability in individual spoken language outcomes remains a persistent finding in the group of children with cochlear implants (CIs), particularly in their grammatical development. Aims: In the present study, we examined the extent of delay in lexical and morphosyntactic spoken language levels of children with CIs as compared to those of a normative sample of age-matched children with normal hearing. Furthermore, the predictive value of auditory and verbal memory factors in the spoken language performance of implanted children was analyzed. Methods & Procedures: Thirty-nine profoundly deaf children with CIs were assessed using a test battery including measures of lexical, grammatical, auditory and verbal memory tests. Furthermore, child-related demographic characteristics were taken into account. Outcomes & Results: The majority of the children with CIs did not reach age-equivalent lexical and morphosyntactic language skills. Multiple linear regression analyses revealed that lexical spoken language performance in children with CIs was best predicted by age at testing, phoneme perception, and auditory word closure. The morphosyntactic language outcomes of the CI group were best predicted by lexicon, auditory word closure, and auditory memory for words. Conclusions: Qualitatively good speech perception skills appear to be crucial for lexical and grammatical development in children with CIs. Furthermore, strongly developed vocabulary skills and verbal memory abilities predict morphosyntactic language skills. Auditory and verbal memory predictors | 29
Baiting improves CPUE in nine-spined stickleback (Pungitius pungitius) minnow trap fishery

Whether or not baiting influences stickleback catch per unit effort (CPUE) remains a matter of debate among stickleback researchers: While the opinions about the impact of baiting on CPUE differ, supporting quantitative data are scarce. The effect of baiting and trap type on nine-spined stickleback (Pungitius pungitius) CPUE was studied in a field experiment conducted over four consecutive days in a small pond in northeastern Finland. The results show that baited traps yielded better (mean CPUE = 1.24 fish/trap/d) catches than unbaited traps (mean CPUE = 0.66); however, there were also differences in CPUE depending on the type of collapsible trap that was used. The trap type effect on CPUE seemed to differ among age classes – the finer meshed trap caught more young-of-the-year fish than the coarse-meshed one, whereas the opposite was true for the older and larger individuals. The results agree with those of an earlier more restricted study conducted in the same locality: Together, these results provide strong evidence for the positive impact of baiting on nine-spined stickleback CPUE.
Risk factors for immediate post-operative fatal recurrence after curative resection of hepatocellular carcinoma.

AIM To investigate the clinicopathological risk factors for immediate post-operative fatal recurrence of hepatocellular carcinoma (HCC), which may have practical implication and contribute to establishing high risk patients for pre- or post-operative preventive measures against HCC recurrence. METHODS From June 1994 to May 2004, 269 patients who received curative resection for HCC were reviewed. Of these patients, those who demonstrated diffuse intra-hepatic or multiple systemic recurrent lesions within 6 mo after surgery were investigated (fatal recurrence group). The remaining patients were designated as the control group, and the two groups were compared for clinicopathologic risk factors. RESULTS Among the 269 patients reviewed, 30 patients were enrolled in the fatal recurrence group. Among the latter, 20 patients showed diffuse intra-hepatic recurrence type and 10 showed multiple systemic recurrence type. Multivariate analysis between the fatal recurrence group and control group showed that pre-operative serum alpha-fetoprotein (AFP) level was greater than 1,000 microg/L (P = 0.02; odds ratio = 2.98), tumor size greater than 6.5 cm (P = 0.03; OR = 2.98), and presence of microvascular invasion (P = 0.01; OR = 4.89) were the risk factors in the fatal recurrence group. The 48.1% of the patients who had all the three risk factors and the 22% of those who had two risk factors experienced fatal recurrence within 6 mo after surgery. CONCLUSION Three distinct risk factors for immediate post-operative fatal recurrence of HCC after curative resection are pre-operative serum AFP level > 1,000 microg/L, tumor size > 6.5 cm, and microvascular invasion. The high risk patients with two or more risk factors should be the candidates for various adjuvant clinical trials.
Online Deception: Prevalence, Motivation, and Emotion

This research has three goals: first, to find out how prevalent online deception is within a sample of Israeli users, second, to explore the underlying motivations to deceive online, and third, to discover the emotions that accompany online deception. A web-based survey was distributed in 14 discussion groups, and the answers of 257 respondents were analyzed. It was found that, while most of the respondents believe that online deception is very widespread, only about one-third of them reported engaging in online deception. Frequent users deceive online more than infrequent users, young users more than old, and competent users more than non-competent. The most common motivations to deceive online were "play" on the one hand and privacy concerns on the other. Most people felt a sense of enjoyment while engaging in online deception. The results are discussed in light of a possible mechanism for changing personal moral standards.
Should I Stay or Should I Go? Retention in First-Generation College Students

The current project uses our university’s new student survey to compare previously reported trends in first-generation college student (FGCS) retention with those found on our campus and discusses potential directions for future research and intervention programs. Consistent with previous research, our data showed that financial concerns were a particularly strong predictor of freshman-to-sophomore retention. FGCS reported that they were significantly more concerned about money and expected to maintain employment throughout their college career at higher rates. This emphasis on work reduces the amount of time FGCS engage in college-related activities and hinders their feeling of connection with their peers. For example, our FGCS expected to encounter more difficulty performing well academically, fitting into the campus environment, and making new friends than non-FGCS students. Our future research agenda extends these findings to other aspects of campus life, examining issues such as cultural fit, family ties, and university inclusiveness.
Two Minds Are Better Than One: Cooperative Communication as a New Framework for Understanding Infant Language Learning

Infants and caregivers both actively shape and are shaped by their shared interactions. The construct cooperative communication captures the back and forth between parents’ and infants’ communicative behaviors during these interactions. Cooperative communication creates a dynamic feedback loop in which infant behavior shapes parent input and parent input shapes infant behavior, facilitating language learning. This review brings together findings from both social development and developmental psycholinguistics to illustrate the importance of cooperative communication as an interdisciplinary concept and as a driver of infant language learning. Shifting the focus from independent infant or parent behaviors to cooperative communication implies viewing infant language learning not as the sum of its dyadic parts, but as the interplay between parent and infant communicative behaviors in shared interactions. Measures of cooperative communication during the prelinguistic stage are of particular importance because early social interactions allow infants to develop their understanding of the reciprocal nature of communication and establish their role as communicators. Across development, infants learn to employ their continually expanding range of skills to elicit their parents’ attention and engage in shared interactions. During these interactions, parent responses that are both developmentally appropriate and attuned to their infants’ focus of attention push language development forward. Further study on the mechanisms supporting this dynamic reciprocity will advance our understanding of the role of early parent–infant interaction in the nascent stages of infant language learning. Implications and applications of research on cooperative communication to improve infant language learning are discussed.