bluuebunny/crossref_metadata_2025 huggingface dataset:
A Comprehensive Survey and Experimental Study of Subgraph Matching: Trends, Unbiasedness, and Interaction
Authors: Zhang Zhijie , Lu Yujie , Zheng Weiguo , Lin Xuemin
Published: March 2024

Subgraph matching is a fundamental problem in graph analysis. In recent years, many subgraph matching algorithms have been proposed, making it pressing and challenging to compare their performance and identify their strengths and weaknesses. We observe that (1) The embedding enumeration in the classic filtering-ordering-enumerating framework dominates the overall performance, and thus enhancing the backtracking paradigm is becoming a current research trend; (2) Simply changing the limitation of output size results in a substantial variation in the ranking of different methods, leading to biased performance evaluation; (3) The techniques employed at different stages of subgraph matching interact with each other, making it less feasible to replace and evaluate a single technique in isolation. Therefore, a comprehensive survey and experimental study of subgraph matching is necessary to identify the current trends, ensure unbiasedness, and investigate the potential interactions. In this paper, we comprehensively review the methods in the current trend and experimentally confirm their advantage over prior approaches. We unbiasedly evaluate the performance of these algorithms by using an effective metric, namely embeddings per second. To fully investigate the interactions between various techniques, we select 10 representative techniques for each stage and evaluate all the feasible combinations.
On The Reasonable Effectiveness of Relational Diagrams: Explaining Relational Query Patterns and the Pattern Expressiveness of Relational Languages
Authors: Gatterbauer Wolfgang , Dunne Cody
Published: March 2024

Comparing relational languages by their logical expressiveness is well understood. Less well understood is how to compare relational languages by their ability to represent relational query patterns. Indeed, what are query patterns other than "a certain way of writing a query"? And how can query patterns be defined across procedural and declarative languages, irrespective of their syntax? To the best of our knowledge, we provide the first semantic definition of relational query patterns by using a variant of structure-preserving mappings between the relational tables of queries. This formalism allows us to analyze the relative pattern expressiveness of relational language fragments and create a hierarchy of languages with equal logical expressiveness yet different pattern expressiveness. Notably, for the non-disjunctive language fragment, we show that relational calculus can express a larger class of patterns than the basic operators of relational algebra.

Our language-independent definition of query patterns opens novel paths for assisting database users. For example, these patterns could be leveraged to create visual query representations that faithfully represent query patterns, speed up interpretation, and provide visual feedback during query editing. As a concrete example, we propose Relational Diagrams, a complete and sound diagrammatic representation of safe relational calculus that is provably (i) unambiguous, (ii) relationally complete, and (iii) able to represent all query patterns for unions of non-disjunctive queries. Among all diagrammatic representations for relational queries that we are aware of, ours is the only one with these three properties. Furthermore, our anonymously preregistered user study shows that Relational Diagrams allow users to recognize patterns meaningfully faster and more accurately than SQL.
WeBridge: Synthesizing Stored Procedures for Large-Scale Real-World Web Applications
Authors: Hu Gansen , Wang Zhaoguo , Tang Chuzhe , Shen Jiahuan , Dong Zhiyuan , Yao Sheng , Chen Haibo
Published: March 2024

Modern web applications use databases to store their data. When processing user requests, these applications retrieve and store data in the database server, which incurs network round trips. These round trips significantly increase the application's latency. Previous approaches have attempted to reduce these round trips by prefetching query results or batching database accesses. However, neither method can efficiently reduce the latency when some queries depend on previous queries' results. In real-world applications, nearly 50% of the queries depend on the result of other queries.

This paper presents WeBridge, the first system capable of synthesizing stored procedures for large-scale real-world web applications. First, WeBridge employs concolic execution technique to analyze the applications and generate stored procedures for hot program paths. Then, it seamlessly integrates the stored procedures into the application by extending the database access library. Finally, it improves the efficiency of the stored procedures with speculative execution. Evaluation using real-world web applications and workloads show that WeBridge achieves up to 79.8% median latency reduction and up to 2× peak throughput.
STile: Searching Hybrid Sparse Formats for Sparse Deep Learning Operators Automatically
Authors: Fang Jingzhi , Shen Yanyan , Wang Yue , Chen Lei
Published: March 2024

Sparse operators, i.e., operators that take sparse tensors as input, are of great importance in deep learning models. Due to the diverse sparsity patterns in different sparse tensors, it is challenging to optimize sparse operators by seeking an optimal sparse format, i.e., leading to the lowest operator latency. Existing works propose to decompose a sparse tensor into several parts and search for a hybrid of sparse formats to handle diverse sparse patterns. However, they often make a trade-off between search space and search time: their search spaces are limited in some cases, resulting in limited operator running efficiency they can achieve. In this paper, we try to extend the search space in its breadth (by doing flexible sparse tensor transformations) and depth (by enabling multi-level decomposition). We formally define the multi-level sparse format decomposition problem, which is NP-hard, and we propose a framework STile for it. To search efficiently, a greedy algorithm is used, which is guided by a cost model about the latency of computing a sub-task of the original operator after decomposing the sparse tensor. Experiments of two common kinds of sparse operators, SpMM and SDDMM, are conducted on various sparsity patterns, and we achieve 2.1-18.0× speedup against cuSPARSE on SpMMs and 1.5 - 6.9× speedup against DGL on SDDMM. The search time is less than one hour for any tested sparse operator, which can be amortized.
Syntax-aware Offensive Content Detection in Low-resourced Code-mixed Languages with Continual Pre-training
Authors: Bölücü Necva , Canbay Pelin
Published: March 2024

Social media is a widely used platform that includes a vast amount of user-generated content, allowing the extraction of information about users’ thoughts from texts. Individuals freely express their thoughts on these platforms, often without constraints, even if the content is offensive or contains hate speech. The identification and removal of offensive content from social media are imperative to prevent individuals or groups from becoming targets of harmful language. Despite extensive research on offensive content detection, addressing this challenge in code-mixed languages remains unsolved, characterised by issues such as imbalanced datasets and limited data sources. Most previous studies on detecting offensive content in these languages focus on creating datasets and applying deep neural networks, such as Recurrent Neural Networks (RNNs), or pre-trained language models (PLMs) such as BERT and its variations. Given the low-resource nature and imbalanced dataset issues inherent in these languages, this study delves into the efficacy of the syntax-aware BERT model with continual pre-training for the accurate identification of offensive content and proposes a framework called Cont-Syntax-BERT by combining continual learning with continual pre-training. Comprehensive experimental results demonstrate that the proposed Cont-Syntax-BERT framework outperforms state-of-the-art approaches. Notably, this framework addresses the challenges posed by code-mixed languages, as evidenced by its proficiency on the DravidianCodeMix [10,19] and HASOC 2109 [37] datasets. These results demonstrate the adaptability of the proposed framework in effectively addressing the challenges of code-mixed languages.
Card Payment Protocol for Cryptocurrencies with Payment Channel Network
Authors: De Silva Anupa , Thakur Subhasis , Breslin John
Published: March 2024

Cryptocurrency, despite the upsurge as a speculative investment, is still a long way from being people’s money. The extreme technicality poses a significant barrier for the general public to adopt it as a medium of exchange. Therefore, simplifying the payment process is a predominant necessity; for example, facilitation in adopting conventional payment instruments can bring convenience to both merchants and consumers. This article proposes a novel cryptocurrency card payment protocol leveraging the Payment Channel Network (PCN) concept, facilitating high throughput and affordable transactions. Our design is based on the Bitcoin-backed Lightning Network (LN) with adjustments to make it executable by a smart card. It also preserves the decentralized nature of cryptocurrencies, reduces operational costs in several ways, and allows instant settlement for the recipients as compared to both conventional and cryptocurrency card payment systems. Our game theoretical analysis, where we model the engagement between the cardholder and the card agent as a long-run extensive form game, attests that they accord with the protocol without experiencing any honest loss under pragmatic conditions. We also discuss the privacy features compared to conventional card payments and LN. The protocol can function independently, without the need for trust, and can also be regulated for those seeking government mediation. This approach can potentially revolutionize the payment landscape by allowing the public to use cryptocurrency for everyday transactions conveniently and allowing existing cryptocurrency holders to conduct affordable micropayments.
Human-Robot Haptic Communication and Accessible Assistive Technology
Authors: Allen Katherine H.
Published: March 2024

This research aims to empower disabled makers and engineers to participate in collaborative engineering activities. First, this research identifies barriers to and benefits of applying makerspace culture precepts to the creation of DIY Assistive Technologies (DIY-AT). From this data, we will be developing a hybrid online and in-person community for supporting DIY-AT makers. Simultaneously, this research aims to identify the basic structure and vocabulary of human haptic communication. From that data, we will design an anthropomorphic human-robot interaction for assistive technologies, using the haptic channel to facilitate fluid assistive interactions. Together, these become a program of research that will support disabled makers and engineering students in collaborating with diverse teams of other creators with improved situational awareness and collaboration.
DIY Assistive Software: End-User Programming for Personalized Assistive Technology
Authors: Herskovitz Jaylin
Published: March 2024

Existing assistive technologies often fail to support the unique and personalized needs of blind and visually impaired (BVI) people. Thus, BVI people have become domain experts in customizing and 'hacking' assistive technology in order to creatively suit their needs. However, current assistive technologies are difficult to hack and alter at the individual level due to the skill and resources required. Due to these challenges, new approaches to supporting Do-It-Yourself (DIY) technology creation are needed to make applying the DIY concept to high-tech assistive technologies for BVI people more feasible. Through my dissertation, I aim to better support DIY assistive software design and development, so that BVI people can design, create, and customize assistive software for themselves and their communities. To accomplish this, I plan to address three primary research goals. First, through qualitative interviews, I present an understanding of why and how BVI people engage in assistive technology customization and adaptation, and the challenges and opportunities that arise from this practice. Second, I aim to investigate how end-user programming can be applied as an approach to DIY assistive technology creation, by designing, building, and evaluating a prototype end-user programming tool. Finally, I aim to understand and improve the real-world feasibility of end-user programming in this domain, by designing tools to improve the accessibility of debugging visual technologies. By addressing these primary research questions, my planned dissertation contributes to the HCI and accessibility community's understanding of DIY assistive software, accessible end-user programming, and accessible debugging techniques. By supporting BVI in creating and modifying their assistive software, this research aims to promote the democratization of technology creation and support BVI people in having greater control over AI-based technologies in their lives.
Towards Inclusive Research and Resources in American Signed Languages
Authors: Mahajan Shruti
Published: March 2024

Creating high-quality resources that are easily accessible in American Sign Language (ASL) is important and valuable to the Deaf community. Simply adding videos to an English-centric user interface layout leads to unsatisfactory results because language conventions and differences in intuition create varying scanning patterns and expectations regarding the information's placement and presentation. Therefore, design choices regarding the videos and their surroundings must be made to overcome this challenge. In this work, we design interfaces that do not rely on English fluency. By promoting the widespread use and availability of well-designed ASL resources, we aim to support increased access and representation of ASL online materials for members of the Deaf community. We are developing an ASL-centric survey tool that would enable users to take surveys in ASL. Our objective is to study design elements that can help users navigate resources intuitively without relying on English. Lastly, we hope to contribute to cultivating access to collaborative human-centered methods and research by closely reflecting on HCI methods and moving towards creating a guideline to carry out research in ASL.
Fenretinide in Young Women at Genetic or Familial Risk of Breast Cancer: A Placebo-Controlled Biomarker Trial
Authors: Aristarco Valentina , Serrano Davide , Maisonneuve Patrick , Guerrieri-Gonzaga Aliana , Lazzeroni Matteo , Feroce Irene , Macis Debora , Cavadini Elena , Albertazzi Elena , Jemos Costantino , Omodeo Salè Emanuela , Cortesi Laura , Massarut Samuele , Gulisano Marcella , Daidone Maria Grazia , Johansson Harriet , Bonanni Bernardo
Published: March 2024

Fenretinide, a retinoid with a low-toxicity profile that accumulates in the breast, has been shown to prevent second breast cancer in young women. Fenretinide exhibits apoptotic and antiinvasive properties and it improves insulin sensitivity in overweight premenopausal women with insulin resistance. This study aimed to further characterize its role in cancer prevention by measuring circulating biomarkers related to insulin sensitivity and breast cancer risk.

Sixty-two women, ages 20 to 46 years, healthy or who had already undergone breast cancer surgery, with a known BRCA1/2 mutation or a likelihood of mutation ≥20% according to the BRCAPRO model, were randomly assigned to receive fenretinide (200 mg/day) or placebo for 5 years (trial registration: EudraCT No. 2009–010260–41). Fasting blood samples were drawn at baseline, 12 and 36 months, and the following biomarkers were analyzed: retinol, leptin, adiponectin, retinol-binding protein 4 (RBP-4), total cholesterol, high-density lipoprotein (HDL) and low-density lipoprotein (LDL) cholesterol, triglycerides, glucose, insulin, insulin-like growth factor (IGF-1), IGF-binding protein 3, sex hormone binding globulin (SHBG), testosterone, and vascular endothelial growth factor (VEGF).

After 12 months of treatment, we observed a favorable effect of fenretinide on glucose (decrease; P = 0.005), insulin (decrease; P = 0.03), homeostatic model assessment index (decrease; P = 0.004), HDL cholesterol (increase; P = 0.002), even though these effects were less prominent after 36 months. Retinol and retinol-binding protein 4 markedly decreased (P < 0.0001) throughout the study. None of the other measured biomarkers changed.

Prevention Relevance:

Fenretinide exhibits beneficial effects on the metabolic profile, supporting its clinical use in breast cancer prevention especially in premenopausal women with a positive family history and pathogenic variants in BRCA1/2 genes. This finding requires further investigations in larger trials to confirm its role in breast cancer prevention.
Supplementary Table 12 from Tumor Microenvironment Landscapes Supporting EGFR-mutant NSCLC Are Modulated at the Single-cell Interaction Level by Unesbulin Treatment
Authors: Maroni Giorgia , Krishnan Indira , Alfieri Roberta , Maymi Valerie A. , Pandell Nicole , Csizmadia Eva , Zhang Junyan , Weetall Marla , Branstrom Art , Braccini Giulia , Cabrera San Millán Eva , Storti Barbara , Bizzarri Ranieri , Kocher Olivier , Daniela Sanchez Bassères Daniela S. , Welner Robert S. , Magli Maria Cristina , Merelli Ivan , Clohessy John G. , Ali Azhar , Tenen Daniel G. , Levantini Elena
Published: March 2024

Supplementary Table 12. Size of each identified transcriptional cluster as percentage of all profiled endothelial cells.
Supplementary Table 1 from Tumor Microenvironment Landscapes Supporting EGFR-mutant NSCLC Are Modulated at the Single-cell Interaction Level by Unesbulin Treatment
Authors: Maroni Giorgia , Krishnan Indira , Alfieri Roberta , Maymi Valerie A. , Pandell Nicole , Csizmadia Eva , Zhang Junyan , Weetall Marla , Branstrom Art , Braccini Giulia , Cabrera San Millán Eva , Storti Barbara , Bizzarri Ranieri , Kocher Olivier , Daniela Sanchez Bassères Daniela S. , Welner Robert S. , Magli Maria Cristina , Merelli Ivan , Clohessy John G. , Ali Azhar , Tenen Daniel G. , Levantini Elena
Published: March 2024

Supplementary Table 1. Size of each identified transcriptional cluster as percentage of all profiled cells.
An efficient novel dual deep network architecture for video forgery detection
Authors: Chandrakala Chandrakala , Sasikala Mungamuri
Published: March 2024

The technique of video copy-move forgery (CMF) is commonly employed in various industries; digital videography is regularly used as the foundation for vital graphic evidence that may be modified using the aforementioned method. Recently in the past few decades, forgery in digital images is detected via machine intellect. The second issue includes continuous allocation of parallel frames having relevant backgrounds erroneously results in false implications, detected as CMF regions third include as the CMF is divided into inter-frame or intra-frame forgeries to detect video copy is not possible by most of the existing methods. Thus, this research presents the dual deep network (DDN) for efficient and effective video copy-move forgery detection (VCMFD); DDN comprises two networks; the first detection network (DetNet1) extracts the general deep features and second detection network (DetNet2) extracts the custom deep features; both the network are interconnected as the output of DetNet1 is given to DetNet2. Furthermore, a novel algorithm is introduced for forged frame detection and optimization of the falsely detected frame. DDN is evaluated considering the two benchmark datasets REWIND and video tampering dataset (VTD) considering different metrics; furthermore, evaluation is carried through comparing the recent existing model. DDN outperforms the existing model in terms of various metrics.
Seagrass ecosystems of Ritche’s Archipelago in the Andaman Sea harbor ‘Endangered’ Holothuria scabra Jaeger, 1833 and ‘Vulnerable’ Actinopyga mauritiana (Quoy & Gaimard, 1834) sea cucumber species (Echinodermata: Holothuroidea)
Authors: Mishra Amrit Kumar , R. Raihana  , Kumari Dilmani , Farooq Syed Hilal
Published: March 2024

This study reports the presence of ‘Endangered’ sea cucumber Holothuria scabra for the first time from the mixed seagrasses of Havelock Island, and the ‘Vulnerable’ Actinopyga mauritiana from the monospecific Thalassia hemprichii meadows from Neil Island of Ritche’s Archipelago of Andaman & Nicobar Islands (ANI). Both species were found during field survey of intertidal seagrass ecosystems of Ritche’s Archipelago. Morphometric measurements were carried out in the field using a vernier caliper, and identification was confirmed using the identification guide for sea cucumbers of ANI provided by the Zoological Survey of India. The total body length of the H. scabra specimen was 15.7 cm, mouth width of 3.2 cm and body circumference of 5.7 cm. The specimen was a juvenile, grey in color with a total of 17 black and yellow transverse stripes along the body. The average body length of A. mauritiana specimens examined differed between those from seagrass meadows (20.4 cm) non-seagrass areas (15.7 cm) as did mouth width and total circumference. Mono and mixed seagrass meadows of ANI are critical habitats for sea cucumbers and require monitoring and protection for conservation of declining populations.
Spider diversity (Arachnida: Araneae) at Saurashtra University Campus, Rajkot, Gujarat during the monsoon
Authors: Jyotil K. Dave  , Varsha M. Trivedi
Published: March 2024

The present work deals with the diversity of spiders during the monsoon within the Saurashtra University Campus, Rajkot, Gujarat. A total of 38 species of spiders belonging to 32 genera and 14 families were recorded. Araneidae (25.81%) was found to be the most dominant family, with nine species from five genera. Guild structure analysis revealed seven feeding guilds, among all 31% most dominant feeding guilds represented by orb-web builders and stalkers, followed by ground runners (13%), irregular webs (10%), ambushers (7%), foliage hunters (6%), and space-web builders (2%). Ecological indices reveal high species richness (Margalef’s d = 8.97) and diversity (Shannon Index H’ = 3.526, Fisher alpha diversity α = 41.73). It concludes that the abundance of spider species at this study site was high and the evenness index was also high (e >0, e = 0.8944). These findings suggest the absence of stress elements in the study area.
A checklist of wild mushroom diversity in Mizoram, India
Authors: Kumar Rajesh , Girish Gogoi
Published: March 2024

The northeastern part of India is one of the biodiversity hotspots having a wide variety of flora and fauna. High humidity during monsoon provides ideal conditions for the growth of diverse group of macrofungi. Mizoram is one of the northeastern states of India which has a large number of edible and non-edible mushroom species. Wild edible mushrooms are an important food source for rural communities of Mizoram and provide additional income to the households if sold in regional markets. The key objective of this study was to explore the macrofungal diversity, and its richness in Mizoram with the aim of preparing a checklist along with the present geographical distribution of the important wild edible mushrooms. The macrofungal survey was undertaken during 2017–2020 in 24 different sites in Mizoram. A total of 152 (54 edible and 98 inedible) mushroom species have been documented belonging to 85 genera, 54 families, and 19 orders. Habitat-wise distribution of macrofungi revealed that maximum species were found on soil (61), followed by associated with roots (36), dead wood (30), living trees (22), and associated with termite mound (three). From a morphological point of view, the wild mushrooms have been divided into gilled fungi (95), boletes (18), polypores (17), coral fungi (10), chanterelles (3), puffballs (3), jelly fungi (3), stinkhorns (2), and cup fungi (1). This documentation of wild mushrooms of Mizoram will be a reference database for future.
Species distribution modelling of Baya Weaver Ploceus philippinus in Nagaon District of Assam, India: a zoogeographical analysis
Authors: Kalita Nilotpal , Bora Neeraj , Choudhury Sandip , Sahariah Dhrubajyoti
Published: March 2024

Identification and mapping of the spatial distribution of species is an important aspect of zoogeographical enquiry. The habitats of many species are facing the threat of depletion in increasingly human-influenced environments. This has already led to the extinction of many species in different localities, making understanding the linkages between anthropogenic threats and species distribution of utmost importance. A GIS-based model was applied to gain an overall picture of the potential distribution of Ploceus philippinus (Baya Weaver) in and around Nagaon District in Assam. The used maxent model in the GIS environment gives a highly significant Area Under Curve (AUC) validation statistic of 0.99. Out of the total area of 3,975 km2, 596.86 km2 (15%) is demarcated as a high-potential area. Such predictions are highly useful in assisting in the conservation of threatened species under current and future climatic conditions.
Recent record of True Giant Clam Tridacna gigas from the Sulu Archipelago and insight into the giant clam fisheries and conservation in the southernmost islands of the Philippines
Authors: Muallil Richard N. , Injani Akkil S. , Abduraup Yennyriza T. , Saddari Fauriza J. , Ondo Ebrahim R. , Sakilan Alimar J. , Hapid Mohammad Gafor N. , Allama Haidisheena A.
Published: March 2024

The Philippines is a hotspot for marine biodiversity, particularly for giant clams like Tridacna gigas. Despite protective measures, giant clams are threatened with extinction due to overharvesting and habitat loss. We conducted a rapid documentation of a rampant giant clam fishery and trade we discovered in Panggungan Island in Sitangkai, Tawi-Tawi during our assessment, following a ship grounding incident in the area. We observed numerous empty shells of various giant clam species scattered across the area, indicating active harvesting by the community. The locals sell the meat, either fresh or dried and pearls collected from giant clams. The local community culture live with giant clams, including the true giant clam species, Tridacna gigas, along the shorelines. The largest live T. gigas individual we documented had a shell length of about 60 cm. Our study provides the first documentation of wild adult T. gigas in the Sulu Archipelago. It is also the only report of sighting of wild adult T. gigas aside from Palawan. Furthermore, our study marks the first account of giant clam trade within the Philippines since the early 1980s when the government issued a total ban on catching and selling of all species giant clams. Our findings highlight the critical need for a thorough assessment of T. gigas and other giant clam species in the biodiversity-rich Sulu Archipelago. Effective conservation of giant clams and the surrounding reefs will ensure the future of our marine ecosystems and the communities that rely on them.
MEDIATING ROLE OF ORGANIZATIONAL SUPPORT IN THE EFFECT OF SERVANT LEADERSHIP PERCEPTION ON KNOWLEDGE SHARING
Authors: Deniz Serkan
Published: March 2024

Knowledge has become an important asset for today’s organizations. In order for organizations to benefit from knowledge, it is of great importance that knowledge be shared among employees. The aim of this study was to determine the mediating role of perceived organizational support in the effect of servant leadership on knowledge sharing. The research was carried out in Istanbul, Türkiye, between 29 April 2022 and 16 September 2022. Collection of the research data was done via the online survey method with individuals who were employed at private hospitals operating in the city of Istanbul. The obtained results revealed that servant leadership positively affected perceived organizational support. Servant leadership and perceived organizational support had a positive effect on knowledge sharing. Finally, perceived organizational support had a mediating role in the effect of servant leadership on knowledge sharing. This study shows that servant leadership and perceived organizational support are determinants of knowledge sharing.
Three leafhoppers newly recorded from the European mainland (Hemiptera: Auchenorrhyncha: Cicadellidae), with notes on their habitats
Authors: AVIVAR-LOZANO LAURA , PÉREZ-GUERRERO SERGIO , MOLINA-RODRÍGUEZ JOSÉ Mª , REIS FABIO , AGUIN-POMBO DORA
Published: March 2024

The leafhopper fauna of the Iberian Peninsula is the least studied in Europe. Recent surveys in agroecosystem areas of southern Spain, specifically in Andalusia, aimed to identify potential Auchenorrhyncha vectors of the bacterium Xylella fastidiosa. During these surveys, three previously unrecorded species of Cicadellidae belonging to the subfamily Deltocephalinae have been discovered. These newly recorded species are Balclutha incisa (Matsumura), Cicadulina (Cicadulina) bipunctata (Melichar), and Maiestas angustisecta (Linnavuori). Generally, these species were previously only known from American, African and eastern Palaearctic regions. This work is the first to record these species on the European mainland. Detailed descriptions of adult specimens have been provided, along with information on their current distribution and host plants. The potential role of these leafhoppers as potential vectors of plant pathogens is discussed, highlighting their importance in agroecosystems.
Two new species of Prionospio (Annelida: Spionidae) from the Northwest and Northeast Atlantic
Authors: DELGADO-BLAS VÍCTOR HUGO , PERAZA RUSSELL GIOVANNI UC
Published: March 2024

Specimens of Prionospio collected from the Northeastern Atlantic Ocean (“Gay Head-Bermuda Transect”) and North Sea (Sweden), and identified as Prionospio dubia, were examined, and two new species were described: P. gayheadia sp. nov. and P. multisetosa sp. nov. P. gayheadia sp. nov., is characterized by having a flask-shaped prostomium, anteriorly truncate and no eyes; the first and fourth pairs of branchiae with long, naked, smooth distal tips; very short, rounded first neuropodial postchaetal lamellae, much smaller than 1/5 of the size of the notopodial lamellae; oval neuropodial postchaetal lamellae on chaetiger 3; sabre chaetae from chaetigers 15–18; notopodial hooded hooks from chaetigers 70–76 (smaller specimens 56–59), all hooded hooks with four pairs of accessory teeth. P. multisetosa sp. nov. has a skittle-shaped prostomium, anteriorly rounded and no eyes; the first and four pairs of branchiae with very short, naked, smooth distal tips; well- developed notopodial prechaetal lamellae on chaetigers 13–33; first neuropodial postchaetal lamellae large, tongue-shaped, slightly smaller than the notopodial lamellae; neuropodial postchaetal lamellae on chaetiger 3 subtriangular (sometimes with rectangular lamellae to the left or right); sabre chaetae from chaetigers 19–24; notopodial hooded hooks from chaetigers 50–55 (smaller specimen 46), all hooded hooks with three pairs of small teeth. An identification key and comparison table detailing the most relevant characters of the species most similar to P. dubia are provided.
Discovery of the cicada genus Becquartina Kato, 1940 (Hemiptera: Cicadidae: Cicadinae) in India with the description of a new species from Meghalaya
Authors: SARKAR VIVEK , THANGKHIEW RODESON , MAHAPATRA CUCKOO , MOHAPATRA PRATYUSH P. , NAIR MANOJ V. , HAJONG SUDHANYA R.
Published: March 2024

The genus Becquartina Kato, 1940 (Hemiptera: Cicadidae) is reported for the first time from India with a new species, Becquartina bicolor sp. nov., along with records of two distinct colour forms, from the northeastern Indian state of Meghalaya and located within the Indo-Burma Biodiversity hotspot. This paper provides an account of its natural history and bioacoustics. The present discovery extends the distributional range of the genus Becquartina from Southeast Asia into Northeast India and increases the total number of known Becquartina species to seven.
Prucalopride and Bowel Function Post Gastrointestinal Surgery: Systematic Review and Meta-Analysis of Randomized Controlled Trials
Authors: Talwar Gaurav , Sharma Sahil , McKechnie Tyler , Yang Shuling , Khamar Jigish , Hong Dennis , Doumouras Aristithes , Eskicioglu Cagla
Published: March 2024

Background

Prolonged postoperative ileus (PPOI) contributes to morbidity and prolonged hospitalization. Prucalopride, a selective 5-hydroxytryptamine receptor agonist, may enhance bowel motility. This review assesses whether the perioperative use of prucalopride compared to placebo is associated with accelerated return of bowel function post gastrointestinal (GI) surgery.

Methods

OVID, CENTRAL, and EMBASE were searched as of January 2024 to identify randomized controlled trials (RCTs) comparing prucalopride and placebo for prevention of PPOI in adult patients undergoing GI surgery. The primary outcomes were time to stool, time to flatus, and time to oral tolerance. The secondary outcomes were incidence of PPOI, length of stay (LOS), postoperative complications, adverse events, and overall costs. The Cochrane risk of bias tool for randomized trials and the Grading of Recommendations, Assessment, Development, and Evaluations framework were used. An inverse variance random effects model was used.

Results

From 174 citations, 3 RCTs with 139 patients in each treatment group were included. Patients underwent a variety of GI surgeries. Patients treated with prucalopride had a decreased time to stool (mean difference 36.82 hours, 95% CI 59.4 to 14.24 hours lower, I2 = 62%, low certainty evidence). Other outcomes were not statistically significantly different (very low certainty evidence). Postoperative complications and adverse events could not be meta-analyzed due to heterogeneity; yet individual studies suggested no significant differences (very low certainty evidence).

Discussion

Current RCT evidence suggests that prucalopride may enhance postoperative return of bowel function. Larger RCTs assessing patient important outcomes and associated costs are needed before routine use of this agent.
The Editor’s Note: The responsibility to care for all
Authors: Preston Teresa
Published: March 2024

The April 2024 Kappan on inclusive schools addresses the responsibility of schools to meet the needs of all students. In her Editor’s Note, Teresa Preston discusses how the authors define inclusion and why it’s essential for all students.
Leading inclusion
Authors: Novak Katie , Paroff Helene
Published: March 2024

The 42 school districts participating in the state of Washington’s Inclusionary Practices Project achieved a significant 12.8% increase in inclusion in the least restrictive environment (LRE 1, or in general education for 80-100% of the school day) over four years, surpassing the state average increase of 6.8%. Katie Novak and Helene Paroff highlight the importance of leadership, collaboration, progress assessment, and continuous professional learning to the success of the project. The project challenges the perception that inclusion is limited to special education and underscores the role of executive sponsorship. Above all, the work provides valuable insights for replicating and creating inclusive environments in other education systems.
The Influence Mechanism of Prison Police’s Depression: A Cross-Lagged Analysis
Authors: Zeng Xiaoqing , Guo Hui
Published: March 2024

Due to the particularity of the work of the prison police, the prevalence of depression is increasing. To explore the influence mechanism of prison police depression, this study used questionnaire to measure burnout, work–family conflict, and depression of prison police in two follow-ups with 6-month intervals, and the number of valid subjects was 118. Cross-lagged analysis and longitudinal mediation analysis were used for data processing. The results showed that job burnout and depression among prison police can influence and predict each other. Work–family conflict significantly positively predicted depression. Burnout and work–family conflict are important predictors of changes in depression among prison police. The policy and practice implications of the findings are discussed at the end of the study.
The role of perceived social support in mitigating the impact of parenting stress on children’s effortful control
Authors: Yıldız Ezgi , Uzundağ Berna A.
Published: March 2024

Effortful control, the ability to suppress a dominant response over a subdominant one, is a fundamental aspect of self-regulation. It has been observed that higher levels of parenting stress are associated with lower levels of effortful control in children. Perceived social support, an important factor in reducing parenting stress, may act as a buffer against the negative effects of parenting stress on children’s effortful control skills. To investigate this assumption, we collected data from 199 mothers in Türkiye, who had children between the ages of 3 and 6 years. Mothers reported on their parenting stress levels, perceived social support, and their children’s effortful control. Our results revealed that perceived social support moderated the relationship between parenting stress and children’s effortful control after controlling for socioeconomic status. Moreover, the buffering effect of perceived social support became stronger as the level of social support increased, subsequently weakening the relationship between parenting stress and children’s effortful control. These findings suggest that parental perceived social support plays a pivotal role in mitigating the adverse effects of parenting stress on healthy child development. These cross-sectional findings warrant a longitudinal investigation into the interrelations among parenting stress, perceived social support, and children’s effortful control.
Difficulties in Emotion Regulation Scale-Short Form (DERS-SF): Psychometric Validation and Measurement Invariance Testing in a Sample of Urban Indian Adolescents
Authors: Bhat Naseer A. , Roopesh Bangalore N. , Bhaskarapillai Binukumar , Chokkanathan Srinivasan , Benegal Vivek
Published: March 2024

Background:

Adolescents are particularly vulnerable to emotion dysregulation (ED), a transdiagnostic marker of psychological disorders with implications for academic achievement, identity development, social bonding, mental health, and the overall well-being and development of adolescents. A well-validated tool for the assessment of ED is imperative for credible advances in research on ED among Indian adolescents. Difficulties in Emotion Regulation Scale-Short Form (DERS-SF) is a promising tool to assess ED but requires proper psychometric validation among Indian adolescents. The current study validated the factor structure and examined psychometric aspects including gender invariance testing of the DERS-SF in Indian adolescents aged between 14 and 20 years.

Methods:

In a cross-sectional study, a community sample of n = 2079 adolescents completed the English version of the DERS-SF, the Strengths, and Difficulties Questionnaire, the Barratt Impulsiveness Scale, and the Adolescent Problem Behaviour Index.

Results:

The six-factor model of the DERS-SF exhibited an acceptable model fit in the current study sample. Invariance testing revealed that the DERS-SF is conceptually interpreted in a similar manner by male and female adolescents. Two-way MANOVA indicated gender and age variations on a few DERS-SF subscales. Reliability for DERS-SF was good, α = 0.86. Adequate construct validity was demonstrated by moderate to strong associations of the DERS-SF subscales with measures of internalizing and externalizing symptoms, adolescent problem behaviors, and impulsivity.

Conclusions:

DERS-SF retained the popular six-factor structure with acceptable psychometric properties and hence can be reliably used with Indian adolescents.
Types of Medication Non-adherence & Approaches to Enhance Medication Adherence in Mental Health Disorders: A Narrative Review
Authors: Jayasree Arya , Shanmuganathan Padmavathi , Ramamurthy Parthasarathy , Alwar MC
Published: March 2024

Background:

Medication non-adherence (MNA) presents a significant obstacle that negatively impacts treatment effectiveness in mental health disorders. The objective of this review is to study different types of MNA and interventions designed to enhance medication adherence among individuals with mental health disorders.

Methods:

We conducted an electronic search on PubMed and Google Scholar using keywords such as adherence, non-adherence, compliance, non-compliance, mental health disorders, psychotropic drugs, major depressive disorder (MDD), schizophrenia, anxiety disorders, and bipolar disorders (BD). From the search results, we selected studies pertinent to the objective of the review.

Results:

Non-adherence can be categorized into primary nonadherence (not starting medication) and secondary non-adherence (not taking the medication as directed). Generally, we can group the reasons for non-adherence into unintentional and intentional. Unintentional non-adherence (UNA) arises when patients genuinely desire to comply with their prescribed course of therapy but are hindered by factors beyond their control. When addressing UNA, interventions should simplify medication regimens, utilize long-acting injectable (LAIs) medications, offer tools to manage medication and provide follow-up reminders. When a patient deliberately decides not to follow their treatment plan, this is known as intentional non-adherence. To improve intentional non-adherence, the focus should be on patient-centred care and shared decision-making, psychoeducation, effective doctor-patient communication, cognitive-behavioral strategies, and addressing concerns related to the side effects of psychotropic drugs.

Conclusion:

It is crucial to understand that there is no universal solution to address non-adherence in mental health disorders. Each patient has distinct needs and characteristics, making personalized strategies and interventions of utmost significance.
Book review: Trina Nileena Banerjee, Performing Silence: Women in the Group Theatre Movement in Bengal
Authors: Basak Jhuma
Published: March 2024

Trina Nileena Banerjee, Performing Silence: Women in the Group Theatre Movement in Bengal. Oxford University Press, 2021, 354 pp., ₹1795 (Hardbound). ISBN 978-0-19-012770-1.
Social Implications of In Vitro Fertilisation (IVF) on Women in India
Authors: Raj Papia , Krishna Puja
Published: March 2024

In vitro fertilisation (IVF) is a technological innovation enabling infertile women to conceive through medical procedures. However, social inferences of IVF need to be contextualised within gender dynamics, especially in India. Though several studies have examined specific social aspects of IVF none have delineated the combination of determinants as well as implications of IVF for women. The present study assesses various social factors influencing choices for infertility treatments like IVF, and also the implications for women undergoing IVF. For a nuanced understanding of these conditions in the larger social context of India, 41 studies discussing important indices like gender dynamics, health status, power relations and social vulnerabilities of women experiencing IVF have been critically reviewed. Based on the review we contend that social pressures, gender identity, desire for a biological child, fear of marital discord and loss of self-esteem are most important factors determining such decisions.
Male and Female Brain Activity During the Screening of a Violent Movie: An EEG Study
Authors: Cerdán-Martínez Víctor , López-Segura Pilar , Lucia-Mulas María José , Sanz Pablo Revuelta , Alonso Tomás Ortiz
Published: March 2024

Movies have the ability to trigger our emotions and affect us in powerful ways. But the impact is not the same among all the audience and, according to our results, also not between women and men. In this study, we used an electroencephalogram (EEG) to register the brain activity of a group of 30 students while they watched a violent scene. The results showed that both male and female groups activated the left temporal lobe. However, the female group also activated the left insula and orbitofrontal areas of both hemispheres. The results of Hotelling’s T-squared distribution also showed significant differences in occipital areas of the brain in favour of women. Thus, our findings evidence that the violent scene activated emotional areas in both male and female groups, but in women there was also an activation of brain areas related to shape and colour recognition and to cognitive processes.
Guidelines for evaluating and reporting social isolation and loneliness interventions
Authors: Schoenmakers Eric C , Lasgaard Mathias , McHugh Power Joanna
Published: March 2024

Given the unpleasant nature of social isolation and loneliness (SIL) and their negative effects on health and wellbeing, interventions are needed. However, persistent issues in the design, evaluation, and reporting of SIL interventions preclude conclusive evidence and commentary on the effectiveness of SIL interventions. Here, we propose guidelines for evaluating SIL interventions, firstly by operationalising them into two categories: (1) interventions aiming to reduce SIL as a primary outcome and (2) interventions aiming to improve non-SIL outcomes in the lives of individuals experiencing SIL. Secondly, we evaluate instruments for measuring SIL and research designs for studying intervention effectiveness. Thirdly, guidelines for reporting information about the intervention, study design, results, and discussion in SIL intervention studies are presented. These guidelines will help researchers to better and more consistently report on SIL interventions and improve comparability of SIL interventions, ultimately contributing to the improvement of interventions and to the mitigation of SIL.
An integrated deep neural network model combining 1D CNN and LSTM for structural health monitoring utilizing multisensor time-series data
Authors: Ahmadzadeh Mohammadreza , Zahrai Seyed Mehdi , Bitaraf Maryam
Published: March 2024

Introducing deep learning algorithms into the field of structural health monitoring (SHM) has contributed to the automatic extraction of damage-sensitive features, but the type and architecture of these algorithms are still in dispute. This paper proposes a hybrid deep learning framework entitled time-distributed one-dimensional convolutional neural network (1D CNN) long short-term memory (LSTM) model, which utilizes raw multisensor time histories to detect structural damages. Using a sliding window that moves along the temporal dimension, the multisensor data are first segmented into subsequences. The 1D CNN layers are simultaneously applied to each subsequence to extract damage-sensitive features from row data samples. These features are then fed into the LSTM layers to extract temporal features between subsequences. As the final step, these extracted features are classified using fully connected layers. In order to assess the performance of this model, a numerical model of a high-rise frame with nonlinear members is used. This hybrid model is assumed to identify the location of damages to this frame. In order to assess the proposed model with a real-world structure, a well-known benchmark building is employed to identify damage patterns by this deep hybrid neural network. A set of metrics related to the performance of the model is measured and evaluated. It is found that the model has an average accuracy of above 96.6% in localizing damage in the numerical structure and above 99.6% in detecting each damage pattern in the experimental building. The results indicate that the proposed model can be applied effectively to the SHM of different structural systems with different damage patterns.