bluuebunny/crossref_metadata_2025 huggingface dataset:
Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networks
Authors: Gong Jibing , Wan Yao , Liu Ye , Li Xuewen , Zhao Yi , Wang Cheng , Lin Yuting , Fang Xiaohan , Feng Wenzheng , Zhang Jingyi , Tang Jie
Published: March 2023

Massive open online courses (MOOCs), which offer open access and widespread interactive participation through the internet, are quickly becoming the preferred method for online and remote learning. Several MOOC platforms offer the service of course recommendation to users, to improve the learning experience of users. Despite the usefulness of this service, we consider that recommending courses to users directly may neglect their varying degrees of expertise. To mitigate this gap, we examine an interesting problem of concept recommendation in this paper, which can be viewed as recommending knowledge to users in a fine-grained way. We put forward a novel approach, termedHinCRec-RL, forConceptRecommendation in MOOCs, which is based onHeterogeneousInformationNetworks andReinforcementLearning. In particular, we propose to shape the problem of concept recommendation within a reinforcement learning framework to characterize the dynamic interaction between users and knowledge concepts in MOOCs. Furthermore, we propose to form the interactions among users, courses, videos, and concepts into aheterogeneous information network (HIN)to learn the semantic user representations better. We then employ an attentional graph neural network to represent the users in the HIN, based on meta-paths. Extensive experiments are conducted on a real-world dataset collected from a Chinese MOOC platform,XuetangX, to validate the efficacy of our proposed HinCRec-RL. Experimental results and analysis demonstrate that our proposed HinCRec-RL performs well when compared with several state-of-the-art models.
Algorithm 1036: ATC, An Advanced Tucker Compression Library for Multidimensional Data
Authors: Baert Wouter , Vannieuwenhoven Nick
Published: March 2023

We present ATC, a C++ library for advanced Tucker-based lossy compression of dense multidimensional numerical data in a shared-memory parallel setting, based on the sequentially truncated higher-order singular value decomposition (ST-HOSVD) and bit plane truncation. Several techniques are proposed to improve speed, memory usage, error control and compression rate. First, a hybrid truncation scheme is described which combines Tucker rank truncation and TTHRESH quantization. We derive a novel expression to approximate the error of truncated Tucker decompositions in the case of core and factor perturbations. We parallelize the quantization and encoding scheme and adjust this phase to improve error control. Implementation aspects are described, such as an ST-HOSVD procedure using only a single transposition. We also discuss several usability features of ATC, including the presence of multiple interfaces, extensive data type support, and integrated downsampling of the decompressed data. Numerical results show that ATC maintains state-of-the-art Tucker compression rates while providing average speed-up factors of 2.2 to 3.5 and halving memory usage. Our compressor provides precise error control, deviating only 1.4% from the requested error on average. Finally, ATC often achieves higher compression than non-Tucker-based compressors in the high-error domain.
Niffler: Real-time Device-level Anomalies Detection in Smart Home
Authors: Du Haohua , Wang Yue , Xu Xiaoya , Liu Mingsheng
Published: March 2023

Device-level security has become a major concern in smart home systems. Detecting problems in smart home sytems strives to increase accuracy in near real time without hampering the regular tasks of the smart home. The current state of the art in detecting anomalies in smart home devices is mainly focused on the app level, which provides a basic level of security by assuming that the devices are functioning correctly. However, this approach is insufficient for ensuring the overall security of the system, as it overlooks the possibility of anomalies occurring at the lower layers such as the devices. In this article, we propose a novel notion,
correlated graph
, and with the aid of that, we develop our system to detect misbehaving devices without modifying the existing system. Our correlated graphs explicitly represent the contextual correlations among smart devices with little knowledge about the system. We further propose a linkage path model and a sensitivity ranking method to assist in detecting the abnormalities. We implement a semi-automatic prototype of our approach, evaluate it in real-world settings, and demonstrate its efficiency, which achieves an accuracy of around 90% in near real time.
Multimodal Sentiment Analysis: A Survey of Methods, Trends, and Challenges
Authors: Das Ringki , Singh Thoudam Doren
Published: March 2023

Sentiment analysis has come long way since it was introduced as a natural language processing task nearly 20 years ago. Sentiment analysis aims to extract the underlying attitudes and opinions toward an entity. It has become a powerful tool used by governments, businesses, medicine, marketing, and others. The traditional sentiment analysis model focuses mainly on text content. However, technological advances have allowed people to express their opinions and feelings through audio, image and video channels. As a result, sentiment analysis is shifting from unimodality to multimodality. Multimodal sentiment analysis brings new opportunities with the rapid increase of sentiment analysis as complementary data streams enable improved and deeper sentiment detection which goes beyond text-based analysis. Audio and video channels are included in multimodal sentiment analysis in terms of broadness. People have been working on different approaches to improve sentiment analysis system performance by employing complex deep neural architectures. Recently, sentiment analysis has achieved significant success using the transformer-based model. This paper presents a comprehensive study of different sentiment analysis approaches, applications, challenges, and resources then concludes that it holds tremendous potential. The primary motivation of this survey is to highlight changing trends in the unimodality to multimodality for solving sentiment analysis tasks.
The Complexity of the Shortest Vector Problem
Authors: Bennett Huck
Published: March 2023

Computational problems on point lattices play a central role in many areas of computer science including integer programming, coding theory, cryptanalysis, and especially the design of secure cryptosystems. In this survey, we present known results and open questions related to the complexity of the most important of these problems, the Shortest Vector Problem (SVP).
The South in American Political Development
Authors: Bateman David A.
Published: March 2023

Recent years have seen a renewed interest in southern distinctiveness within the United States and its ramifications for the nation. This review provides an analysis of recent works and the interpretive issues they raise. I argue that collectively they have broken with the long-established image of the South in political science, the study of which was long organized around the region's anticipated convergence to the patterns of the post–New Deal North. Recent texts have instead emphasized an enduring commitment to white supremacy and a determining influence for the region in shaping national politics and institutions. I identify two broad pathways of southern influence and discuss the debates over its sources. I then discuss recent works on southern regimes and the debates these have provoked. I conclude by suggesting that overcoming the limits of recent works will ultimately undermine some of our more sweeping interpretive claims and foundational premises.
Next Generation Infectious Diseases Monitoring Gages via Incremental Federated Learning: Current Trends and Future Possibilities
Authors: Javed Iqra , Iqbal Uzair , Bilal Muhammad , Shahzad Basit , Chung Tae-Sun , Attique Muhammad
Published: March 2023

Infectious diseases are always alarming for the survival of human life and are a key concern in the public health domain. Therefore, early diagnosis of these infectious diseases is a high demand for modern‐era healthcare systems. Novel general infectious diseases such as coronavirus are infectious diseases that cause millions of human deaths across the globe in 2020. Therefore, early, robust recognition of general infectious diseases is the desirable requirement of modern intelligent healthcare systems. This systematic study is designed under Kitchenham guidelines and sets different RQs (research questions) for robust recognition of general infectious diseases. From 2018 to 2021, four electronic databases, IEEE, ACM, Springer, and ScienceDirect, are used for the extraction of research work. These extracted studies delivered different schemes for the accurate recognition of general infectious diseases through different machine learning techniques with the inclusion of deep learning and federated learning models. A framework is also introduced to share the process of detection of infectious diseases by using machine learning models. After the filtration process, 21 studies are extracted and mapped to defined RQs. In the future, early diagnosis of infectious diseases will be possible through wearable health monitoring cages. Moreover, these gages will help to reduce the time and death rate by detection of severe diseases at starting stage.
Evaluation of the Crossbreeding Scheme and Farmers’ Perception of Awassi and Dorper Crossbred Sheep
Authors: Tesema Zeleke , Kefale Alemu , Deribe Belay , Esayas Getasew , Chanie Demlie , Worku Alebachew Getachew , Tiruneh Solomon , Shibeshi Mekonen
Published: March 2023

The objectives of this study were to characterize the performance of crossbred sheep and crossbreeding scheme and to solicit farmers’ opinions about crossbred sheep. A total of 238 respondents were selected from five districts and data were collected through a personal interview, focus group discussion, measurement of animals, and field observation. Continuous type of data were analyzed using different procedures of SAS, while the estimated breeding value (EBV) for distributed rams was estimated by the WOMBAT software fitting animal model. The findings showed that sheep were the most significant species and that they were primarily raised for meat consumption and income generation. The proportions of crossbred sheep were 79.6% in Angot, 61.3% in Dessie zuria, 64.2% in Gazo, 80.6% in Legambo, and 27.5% in the Kobo area. The sheep crossbreeding program was constrained by feed shortage, lack of improved genotype, and diseases. The ongoing sheep crossbreeding program lacks a proper recording scheme, rams were not selected based on genetic merit, not exchanged in time, lack periodic importation of genetically unrelated rams, and lacks fixing the maximum exotic gene level suitable for the production system. The EBVs of Dorper crossbred rams for birth weight and weaning weight were 0.007 kg and 0.273 kg, respectively. Tikur sheep had an earlier age at first lambing (AFL) than Awassi x Tikur sheep. Likewise, the indigenous Wollo sheep had earlier AFL, short lambing interval, and produced a large number of lambs per lifetime than their Awassi crossbreds. Dorper crossbreds were preferred (9.30 - 72.2 times greater and

P
<
0.001

) for their growth rate, physical appearance, preference in the market or price, and milk production of ewes compared with indigenous Tumele sheep. The Awassi crossbred sheep were preferred (odds ratio = 12.7– 90.0 and

P
<
0.001

) due to their good physical appearance, fast growth rate, wool yield, milk yield, and better preference in the market compared with Tikur and Wollo sheep breeds. The implementation of the crossbreeding program needs some sort of revision, monitoring, and periodic evaluation. Besides, it must be accompanied by improved management to exploit the expected benefits from the crossbreeding program in the low-input production system.
Tomato Production under Synergistic Application of Phosphate Solubilizing Bacteria and Phosphate Amendments
Authors: Haile Dereje , Tesfaye Bizuayehu , Assefa Fassil
Published: March 2023

Phosphate solubilizing bacteria have multi-dimensional benefits in broad host range interaction, accessing nutrients, phytohormone induction, stress alleviation, biocontrol activity, and eco-friend approach. This study aimed to evaluate the efficacy of PSB isolates coinoculated with compost, bone meal, and DAP fertilizer on tomato growth response. Tomato seeds were treated with 10 selected PSB isolates separately and grown for 20 days on seedbed, then transplanted to field that was treated with external P-sources and enriched by PSB inoculum. PSB isolates showed positive interaction and achieved significant plant assays including plant height, leaves, branches, flowers, and fruit development. Isolate K-10-41 significantly promoted tomato plant height, floral development, and fruit yield, Mk-20-7 enhanced height and fruit weight whereas K-10-27 induced tomato fruit numbers. Compost application promoted tomato-PSB interaction and induced tomato vegetative growth whereas bone meal was least promotor for most of tomato plant assays. Bone meal was however, one of the top fruit development inducers (harvested 20.94 fruits/plant weighing 881.97 gm). Mixing 50% of recommended compost and DAP fertilizer application enhanced tomato vegetative growth and fruit yield (21 fruits/plant harvested that weighed 872.46 gm). Based on the overwhelming performance, K-10-41 and Mk-20-7 application together with compost and fertilizer mixture were found effective. Therefore, the results of this study imply that application of competent PSB isolates together with nutrient supplements improved symbiotic effectiveness, sustainable production, and environmental health. Consequently, these promising isolates would be recommended for tomato production of higher yield and sustainability after verifying their efficacy at different agroecology and taxonomic identification. Screening potential strains and evaluating their competence under different conditions would be the future perspectives to develop efficient inoculants. Moreover, synergetic application of organic supplements (compost, farmyard, bone meal, or other biowastes), bioinoculants, and proper agrochemicals maximize production and environmental health and is feasible for the economic, social, and ecological sense of balance.
Increased Use of Hyperosmolar Therapy for Suspected Clinically Apparent Brain Injury in Pediatric Patients with Diabetic Ketoacidosis during the Peak of the COVID-19 Pandemic
Authors: Azova Svetlana , Liu Enju , Wolfsdorf Joseph
Published: March 2023

The incidence of pediatric diabetic ketoacidosis (DKA) increased during the peak of the COVID-19 pandemic. The objective of this study was to investigate whether rates of hyperosmolar therapy administration for suspected clinically apparent brain injury (CABI) complicating DKA also increased during this period as compared to the three years immediately preceding the pandemic and to compare the characteristics of patients with suspected CABI before the pandemic, patients with suspected CABI during the peak of the pandemic, and those with DKA but without suspected CABI during the pandemic. Patients aged ≤18 years presenting with DKA before (March 11, 2017–March 10, 2020) and during the peak of the pandemic (March 11, 2020–March 10, 2021) were identified through a rigorous search of two databases. Predefined criteria were used to diagnose suspected CABI. Biochemical, clinical, and sociodemographic data were collected from a comprehensive review of the electronic medical record. The proportion of patients with DKA who received hyperosmolar therapy was significantly higher (

P

 = 0.014) during the pandemic compared to the prepandemic period; however, this was only significant among patients with newly diagnosed diabetes. Both groups with suspected CABI had more severe acidosis, lower Glasgow Coma Scale scores, and longer hospital admissions (

P

 < 0.001 for all) than cases without suspected CABI. During the pandemic, the blood urea nitrogen concentration was significantly higher in patients with suspected CABI than those without suspected CABI, suggesting they were more severely dehydrated. The clinical, biochemical, and sociodemographic characteristics of patients with suspected CABI were indistinguishable before and during the pandemic. In conclusion, administration of hyperosmolar therapy for suspected CABI was more common during the peak of the COVID-19 pandemic, possibly a result of delayed presentation, highlighting the need for increased awareness and early recognition of the signs and symptoms of diabetes and DKA, especially during future surges of highly transmissible infections.
New Existence and Stability Results for

ψ
,
w

-Caputo−Fabrizio Fractional Nonlocal Implicit Problems
Authors: Abdo Mohammed S. , Shammakh Wafa , Alzumi Hadeel Z.
Published: March 2023

In the context of

ψ

-weighted Caputo−Fabrizio fractional derivatives, we develop and extend the existence and Ulam−Hyers stability results for nonlocal implicit differential equations. The fixed-point theorems due to Banach and Krasnoselskii are the foundation for the proof of existence and uniqueness results. Additionally, the Ulam−Hyers stability demonstrates the assurance of the existence of solutions via Gronwal inequality. Also, we offer an example as an application to explain and validate the acquired results. Finally, in terms of our outcome, we designate a more general problem for the

ψ
,
w

-Caputo−Fabrizio fractional system that includes analogous problems to the problem at hand.
In Vitro and In Vivo Anti-Inflammatory Properties of the Hydroethanolic Extract of the Roots of Vernonia guineensis (Asteraceae)
Authors: Yousseu Nana William , Billong Mimb Justin Rodrigue , Atsamo Albert Donatien , Tsafack Eric Gonzal , Djuichou Nguemnang Stephanie Flore , Fagni Njoya Zenab Linda , Matah Marthe Vanessa Mba , Madjo Kouam Yacine Karelle , Mbiantcha Marius , Ateufack Gilbert
Published: March 2023

In traditional Cameroonian medicine, to relieve many inflammations, parts of Vernonia guineensis, are very widely used. This study considered the evaluation of acute toxicity and anti-inflammatory properties of the hydroethanolic extract of the roots of Vernonia guineensis. In an acute toxicity study, 250, 2500, and 5000 mg/kg were administered orally to mice in a single dose, and general behavior, adverse effects, and mortality were monitored. In vitro and in vivo anti-inflammatory tests were performed, and then histological, serum, hematological, and oxidative stress parameters have been evaluated. In an acute toxicity, all groups revealed neither mortality nor any significant alteration in behavior; only drowsiness, sedation, and lethargy were observed at 5000 mg/kg. For in vitro tests, the extract inhibited anti-inflammatory activity. In the formalin test, at 250 mg/kg, the extract inhibited edema with a percentage of 56.41% (4th hour) in an acute treatment and 74.44% (10th day). Joint edema was reduced by 67.24% (24th hour) in a single treatment and by 74.25% (7th day) in repeated treatment. The extract caused an increase in red blood cell, hemoglobin, and serum protein levels and reduced the white blood cells as well as the activities of alkaline phosphatase and alanine aminotransferase. The extract modulated oxidative stress parameters in the brain, spinal cord, liver, and kidneys. The extract protected the joint by reducing the bone and cartilage erosion. The present work highlights the anti-inflammatory, antioxidant, and antianemic properties of the hydroethanolic extract of the roots of Vernonia guineensis, which supports its empirical use in traditional medicine for the treatment of inflammatory pathologies.
Impact of Tree Cover Loss on Carbon Emission: A Learning‐Based Analysis
Authors: Butt Abdul Haleem , Jamshed Muhammad Ali , Ur Rahman Ata , Alam Faiz , Shakya Manoj , Almadhor Ahmad S. , Ur-Rehman Masoor
Published: March 2023

Describing the processes leading to deforestation is essential for the development and implementation of the forest policies. In this work, two different learning models were developed in order to identify the best possible model for the assessment of the deforestation causes and trends. We developed autoregressive integrated moving average (ARIMA) model and long short‐term memory (LSTM) independently in order to see the trend between tree cover loss and carbon dioxide emission. This study includes the twenty‐year data of Pakistan on tree cover loss and carbon emission from the Global Forest Watch (GFW) platform, a known platform to get numerical data. Minimum mean absolute error (MAE) for the prediction of tree cover loss and carbon emission obtained through ARIMA model is 0.89 and 0.95, respectively. The minimum MAE given by LSTM model is 0.33 and 0.43, respectively. There is no such kind of study conducted in order to identify the increase in carbon emission due to tree cover loss most specifically in Pakistan. The results endorsed that one of the main causes of increase in the pollution in the environment in terms of carbon emission is due to tree cover loss.
The Dynamic Effects of the Foreign Economic Shocks on the Korean Port Industry
Authors: Kim Sung-A. , Park Kapje , Kim Chan-Ho
Published: March 2023

Although the port industry is very important in the Korean economy, there are few literature studies that shed light on the macroeconomic implications of the business cycles in this industry. This paper examines the roles played by foreign economic factors in the business cycle in the Korean port industry. Specifically, it aims to estimate the impulse response of the seaborne freight volume in the port industry due to the shocks of the foreign economy and analyze the contributions of each shock considered on the variation in the freight volume. The structural FAVAR (SFAVAR) model was employed to extract the unobserved foreign economic factors. This paper estimates the four foreign economic factors and the parameters of the model using the one-step Bayesian Gibbs sampling method. The findings of this study show that foreign economic activity statistically affects the freight volume of the Korean ports. Specifically, the shocks to the foreign real economic activity increased freight transportation for nearly one year. Following the world inflation shocks, the freight transportation was enhanced. However, this impact disappeared after a year. Similarly, the rise in global liquidity was shown to encourage transportation activity; nevertheless, this activity declined after five quarters. Moreover, the increase in the world interest rates exerted a negative effect on the volume of transportation. Furthermore, the variance decomposition analysis shows that 49.2% of the variation in the transportation volume could be attributed to foreign economic activity. This analysis can contribute to drawing useful implications in establishing the port industry policy in response to the change in the economic environment such as the foreign economy.
Early-Onset Colorectal Cancer Somatic Gene Mutations by Population Subgroups
Authors: Shen Xinyi , DeWan Andrew T. , Johnson Caroline H.
Published: March 2023

In this issue of Cancer Discovery, Holowatyj and colleagues uncover racial/ethnic and sex heterogeneity in somatic mutations among patients with early-onset colorectal cancer. The findings shed light on a deeper understanding of complex biological and genetic mechanisms for colorectal cancer in diverse populations.

See related article by Holowatyj et al., p. 570 (6).
MiR-124 Reduced Neuroinflammation after Traumatic Brain Injury by Inhibiting TRAF6
Authors: Yang Yongxiang , Ye Yuqin , Fan Kexia , Luo Jianing , Yang Yongjian , Ma Yuan
Published: March 2023

Introduction: Neuroinflammation contributes to secondary injury after traumatic brain injury (TBI), which has been mainly mediated by the microglia. MiR-124 was reported to play an important role in the polarization of microglia by targeting TLR4 signaling pathway. However, the role and mechanism of miR-124 in neuroinflammation mediated by microglia after TBI is unclear. To clarify this, we performed this research. Methods: The expression of miR-124 was first measured by RT-PCR in the injured brain at 1/3/7 days post-TBI. Then, miR-124 mimics or inhibitors administration was used to interfere the expression of miR-124 at 24 h post-TBI. Subsequently, the microglia polarization markers were detected by RT-PCR, the expression of inflammatory cytokines was detected by ELISA, the expression of TLR4/MyD88/IRAK1/TRAF6/NF-κB was measured by WB, and the neurological deficit was evaluated by NSS and MWM test. At last, in vitro experiments were performed to explore the exact target molecule of miR-124 on TLR4 signaling pathway. Results: Animal research indicated that the expression of miR-124 was downregulated after TBI. Upregulation of miR-124 promoted the M2 polarization of microglia and inhibited the activity of TLR4 pathway, as well as reduced neuroinflammation and neurological deficit after TBI. In vitro experiments indicated that miR-124 promoted the M2 polarization of microglia and reduced neuroinflammation by inhibiting TRAF6. Conclusion: This study demonstrated that upregulation of miR-124 promoted the M2 polarization of microglia and reduced neuroinflammation after TBI by inhibiting TRAF6.
A Study on the Effectiveness of 650-nm Red-Light Feeding Instruments in the Control of Myopia
Authors: Lin Zhi-Hong , Tao Zheng-Yang , Kang Ze-Feng , Deng Hong-Wei
Published: March 2023

Introduction: This study analyzed the effectiveness of 650-nm red-light feeding instruments in the control of myopia. Methods: In this study, 164 school-aged participants diagnosed with myopia in the city of Shenzhen were enrolled in a red-light feeding instrument study. Of these, 41 were enrolled in the mild-to-moderate myopia group that received red-light feeding (RLMM group), 65 were enrolled in the mild-to-moderate myopia group that received single-vision spectacle treatment (SVSMM group), and 58 were included in the severe myopia group that received red-light feeding (RLS group). Results: After the baseline values of the three groups were matched, the right eye data were used for statistical analysis. The average return visit time of each group was 60.42 days, and changes in the observation indexes before treatment and after follow-up treatment were compared. As the primary outcome, the axial length changes in the right eye of the SVSMM group (0.08 ± 0.40 mm), the RLMM group (−0.03 ± 0.11 mm), and the RLS group (−0.07 ± 0.11 mm) were compared and showed a statistical result of p < 0.001. Conclusion: The study results verified that red light had a noticeable effect on the control of myopia and that low-level red-light therapy played a vital role in the treatment of severe myopia.
Distal Tumor Spread in Rectal Cancer—How Low Should We Go?
Authors: Yellinek Shlomo , Krizzuk Dimitri , Gilshtein Hayim , Freund Michael R. , Wexner Steven D. , Berho Mariana
Published: March 2023

Background

Distal tumor spread (DTS) is an adverse prognostic factor in rectal cancer correlating with advanced stage disease. We aimed to assess prevalence and location of distal tumor spread and impact of neoadjuvant chemoradiotherapy (NACRT) in patients who underwent proctectomy for rectal cancer.

Methods

The pathology database at our institution was queried for all patients who underwent proctectomy with curative intent for rectal cancer from 1/2008 to 12/2016. Specimen slides were re-evaluated by a single expert rectal cancer pathologist to verify diagnosis and measure the distance to the distal resection margin. Main outcome measures were 3-year overall and disease-free survival.

Results

275 consecutive patients were identified. 109/111 patients with clinical stage 3 disease received preoperative neoadjuvant chemoradiotherapy. DTS was found in 13 (4.7%) specimens, 6 with intra-mural and 7 with extra-mural distal tumor spread. DTS was found only in patients with clinical stage 3 disease. Length of DTS from the distal end of the tumor ranged from 0 to 30 mm; in only 4 specimens DTS was >10 mm. A positive distal resection margin was found in 5/275 (1.8%) specimens.

Conclusion

A macroscopically tumor-free margin may suffice in patients with pre-treatment stage 1 or 2 disease. Furthermore, a 1 cm margin is adequate in most patients with stage 3 disease.
Pediatric Dysphonia: When to Refer
Authors: Hseu Anne F. , Spencer Grant P. , Jo Stacy , Kawai Kosuke , Nuss Roger C.
Published: March 2023

The reported prevalence of voice disorders in the pediatric population varies widely between studies, ranging from 3.9% to 23%. Despite this, not all children with dysphonia are referred to a voice specialist for further evaluation. The objective of this study is to examine the relationship between dysphonia history, voice assessment, and laryngeal findings to help guide referrals of dysphonic children. A retrospective review was conducted of pediatric patients at a tertiary voice clinic between January 2014 and December 2017. Data including dates of presentation, demographics, co-morbidities, presenting symptoms, laryngeal exam findings, Consensus Auditory-Perceptual Evaluation of Voice (CAPE-V) scores, and Pediatric Voice Handicap Index (pVHI) scores were collected and analyzed. Of 475 patients initially identified, 459 met inclusion criteria and were reviewed. In all, 272 (59.3%) were male and 187 (40.7%) were female. Mean age at first presentation was 8.6 years old (range: 2-18). Males were more likely to present at a younger age than females. CAPE-V data were available for 439 patients, and pVHI data were available for 109 patients. The mean CAPE-V Overall Severity score was 38.2. The mean total pVHI score was 25.4. Males had higher CAPE-V Overall Severity (40.0 vs. 35.4), Roughness (32.2 vs. 27.6), and Strain scores (37.2 vs. 32.4) than females. Patient pVHI scores did not differ by gender. In all, 283 patients self-reported a length of symptoms prior to evaluation. Children with a longer duration of symptoms prior to evaluation had higher CAPE-V Overall Severity scores. Diagnoses of vocal fold movement impairment and benign vocal fold lesions that were not nodules were associated with higher average CAPE-V Overall Severity scores. Overall, 310 patients (67.5%) were recommended intervention for their dysphonia. These patients had higher CAPE-V Overall Severity scores than those who were solely recommended observation (42.8 vs. 28.0). Males were more likely than females to present with dysphonia and presented with more severe perceptual dysphonia scores on average. The length of symptoms and certain diagnoses correlated with higher CAPE-V Scores. Referrals to a pediatric voice clinic should be considered in patients with a dysphonia history lasting greater than 3 months and in patients with more severe symptoms.
The Father Who Gathers: Performative Metaphors of God
Authors: Gammack George
Published: March 2023

Statuesque imagery arising out of a compulsive need to name God has to give way to the acceptance of a moving presence that is revealed in active metaphors of performance. Father, rather than being personified in an individual, is incarnated in the process of fathering, which is the art-in-action of gathering the fragmented elements of life into patterns of relational wholeness.
Matthew’s Gospel and Jewish–Christian Relations
Authors: Conway-Jones Ann
Published: March 2023

Matthew’s Gospel is a minefield for Jewish–Christian relations, and the issues raised for preachers involve wider questions about reading and interpreting troubling scriptural passages. The article first examines the Gospel in its first century context (reading it historically), and then explores the interpretation of Matthew in today’s contexts (reading it theologically). In both halves, it focusses on two specific topics: the depiction of Pharisees, and the so-called ‘blood curse’ of Matthew 27:25. It argues that Matthew’s vilification of the Pharisees is based on their unresponsiveness to the message about Jesus, their refusal to recognise him as the torah interpreter par excellence. This raises the question of how we ought to speak of those with whom we disagree. The reappraisal of Christian language about the Pharisees requires more than setting the historical record straight. It involves giving them theological weight, such as taking the Pharisaic habit of questioning, probing, and debating as a positive example. In 27:25, Matthew ties together the significance of Jesus’ death and the subsequent destruction of Jerusalem with the offer of forgiveness available in Christ, but at the expense of the Jewish people. Rather than trying to rehabilitate the verse, it is suggested that it be allowed to stand in judgement over us, for all the ways in which we have put words into other people’s mouths, denied their right to self-definition, and imposed our frameworks of meaning upon them. The article ends with a series of guidelines for avoiding anti-Judaism.
A good casework relationship and Buddhist philosophy
Authors: Yokoi Teruo , Inagaki Kayo
Published: March 2023

Thus far, casework practice has been based solely on reason. In this article, we propose that, to form a good casework relationship between worker and client, it is important to adopt a mental state that goes beyond reason. This refers to a state of mind wherein the workers themselves abandon their attachment to the ‘self’ (obsession with the self).
Economic Construction by Means of Legal Institutionalization under Kim Jong Un Regime of North Korea (2012–2021)
Authors: Jung Suehyun
Published: March 2023

This article argues that legal institutionalization under the Kim Jong Un regime has been designed to improve the performance legitimacy of his regime by accumulating and more competitively distributing social surplus. There are five areas of focus that can be brought to bear to evaluate economic construction during the Kim Jong Un period: (1) an emphasis on profit and emergence of de facto taxes, (2) control of bureaucratic corruption and non-tax burdens, (3) regional empowerment of economic viability, (4) legalized market activities in tandem with strengthened property and contract rights, and (5) interest in the environmental protection and sustainable development goals.
Industry-recognized certifications for college- and career-readiness
Authors: Giani Matt
Published: March 2023

Industry-recognized certifications (IRCs) are designed by businesses, industrial groups, and state agencies to enable students to demonstrate their skills related to a specific profession and to enable industries to know whether potential employees are qualified for specific jobs. To understand the value of these certifications, Matt Giani analyzed data from more than a million Texas public high school graduates. The data showed some positive relationships between IRCs and students’ future earnings and college enrollment and persistence, but the links are sometimes weak and vary depending on the IRC earned. And most students earning an IRC did not move on to work or postsecondary study in areas aligned with their credentials.
Advantages of career learning in the early grades: A conversation with Ed Hidalgo
Authors: Vail Kathleen
Published: March 2023

Career exploration traditionally starts in middle school. However, there are advantages to starting discussions about career and preference in the early grades. California’s Cajon Valley Union School District is using the World of Work curriculum systemically from kindergarten to high school. Children learn about their personality types, do activities related to professions, and hear from professionals. Ed Hidalgo, who developed the curriculum and helped put it into practice at Cajon Valley, talks to Phi Delta Kappan about the advantages of starting in the early grades, as well as the importance of encourage students to understand and explore their strengths and preferences.
The Effect of Work-Leisure Facilitation on Employee Voice Behaviour: A Dual-Path Model From the Perspective of Resource Interaction
Authors: Wang Feng , Zhang Zihui , Shi Wendian
Published: March 2023

With the enhancement of leisure consciousness, people pay increasing attention to leisure. When individuals perceive that the training, affect and skills obtained from work have a positive effect on their leisure, will they take the initiative to engage in actions that are beneficial for the development of the enterprise? Previous studies have not explored this. Therefore, in view of this shortcoming, this study explored the relationship between work-leisure facilitation (WLF) and employee voice behaviour based on resource conservation theory, as well as the dual mediation path role of work vigour and organizational identification in this relationship. In addition, this study explored the influence of leader-member exchange (LMX) on the dual mediation path. In this study, 110 employees were sampled for five consecutive working days, and a multilevel model was constructed for data analysis. The results showed that WLF was significantly positively correlated with employee voice behaviour and that both work vigour and organizational identification played significant mediating roles. LMX shows differences in the moderation of the dual mediation path. Specifically, LMX significantly moderated the indirect effect of WLF on voice behaviour through work vigour, but it did not moderate the relationship between WLF and organizational identification. This study not only reveals the relationship between WLF and voice behaviour but also make suggestions to management for improving employee voice behaviour.
The digital writing of human rights narratives: Failure, recognition, and the unruly inscriptions of database infrastructures
Authors: Bowsher Josh
Published: March 2023

Drawing on empirical research, this article explores the possible sociopolitical effects of database infrastructures on the shaping and construction of human rights narratives. While it has become commonplace to theorise human rights through the lens of narrative, academic debates have largely ignored the technical infrastructures through which human rights narratives are constructed. The article responds to this gap by deploying and developing theoretical tools from software and infrastructure studies to consider database infrastructures as complex sociotechnical devices that engender sociopolitical consequences for narrative possibilities. Focusing on two key examples drawn from the empirical research, the article demonstrates the necessity of developing a critical attentiveness to the ways that human rights narratives are shaped by digital infrastructure. In doing so, the article develops and complicates infrastructure and software studies approaches whilst also demonstrating their value for other fields of research which do not ordinarily come within their purview.
Legitimate Reactivity in Measuring Social Phenomena: Race and the Census
Authors: Runhardt Rosa W.
Published: March 2023

As a result of being measured, individuals sometimes alter their behavior and attitudes to such extent that subsequent measurement results are affected. This ‘reactivity’ to measurement problematizes prediction and explanation, but some reactivity is nevertheless legitimate. Using the example of the measurement of race in the US Census, this article demonstrates that some forms of reactivity do not affect the accuracy of research. The article argues that legitimacy of reactivity depends on the metaphysical status of the phenomenon being measured. It is argued that reactivity’s legitimacy is affected by the arbitrariness of a measure and the voluntariness of measurement results.
Art, Affect, and Social Media in the ‘No Dakota Access Pipeline’ Movement
Authors: Lee Robyn
Published: March 2023

Indigenous-led activism against proposed oil pipelines has relied heavily on social media, as in the #NoDAPL campaign against the Dakota Access Pipeline. This paper explores affective engagement in online activism, including the Standing Rock ‘check-in’ campaign on Facebook. Moving beyond dichotomous understandings of embodied vs digital activism, Cannupa Hanska Luger’s Mirror Shields Project employs digital media in order to support direct action at Standing Rock. Patricia Clough draws a direct link between affect and technoscientific understandings of the body in her concept of biomediated bodies. This helps explain how physical and digital activism are linked: the digital and the physical cannot be understood as independent of each other, since online engagement always has an embodied aspect as well. Luger’s Mirror Shields Project functions as a form of alterlife, in resistance to biopower, recognizing historical and ongoing harms while also creating new possibilities for resistance.
François Jullien’s Landscape, Site Selection, and Pattern Recognition
Authors: Feuchtwang Stephan
Published: March 2023

François Jullien’s idea of landscape in Chinese philosophy and art is taken from the refinement of highly literate writers and artists, unrelated to the techniques of location that find good sites and make places in landscape. This article is based on a study of fengshui (Chinese geomancy). It argues that fengshui is a practice of identifying not things or beings but moments and circumstances of a client. It works with an epistemology of pattern recognition, which is based on observation and experience but does not test the truth of the signs that are the means of recognizing patterns. This epistemology of pattern recognition is not peculiarly Chinese but can also be found in building, urban planning, and the art of medical diagnosis.
Safety profile of monoclonal antibodies targeting the calcitonin gene-related peptide system in pregnancy: Updated analysis in VigiBase®
Authors: Noseda Roberta , Bedussi Francesca , Gobbi Claudio , Ceschi Alessandro , Zecca Chiara
Published: March 2023

Background

Safety data on the use of migraine preventive monoclonal antibodies targeting the calcitonin gene-related peptide (CGRP) system in pregnancy are limited.

Methods

Updated pharmacovigilance assessment of the safety reports related to pregnancy associated with erenumab, galcanezumab, fremanezumab and eptinezumab, retrieved from VigiBase® as of 31 December 2021. As primary outcome, the whole group of monoclonal antibodies targeting the CGRP system was considered and sex and age subgroup disproportionality analyses using the reporting odds ratio (ROR) were conducted.

Results

286 safety reports were found: 116 (40.6%) on erenumab, 125 (43.7%) on galcanezumab, 39 (13.6%) on fremanezumab, 6 (2.1%) on eptinezumab. One hundred and forty-nine (52.1%) safety reports reported only drug exposure in relation to pregnancy while 137 (47.9%) also included ≥1 pregnancy outcomes: maternal outcomes (n = 64), spontaneous abortion (n = 63), foetal growth restriction (n = 1), prematurity (n = 8), neonatal outcomes (n = 13), and poor breastfeeding (n = 1). No specific patterns of maternal, foetal and neonatal toxicity were observed. Spontaneous abortion was not disproportionally more frequently reported with erenumab, galcanezumab, fremanezumab and eptinezumab compared with the entire database (ROR 1.1, 95% confidence interval, CI, 0.8–1.5), the entire database since 2018 (ROR 1.3, 95% CI 1.0–1.8), and triptans (ROR 1.2, 95% CI 0.8–1.9).

Conclusions

This updated safety analysis on erenumab, galcanezumab, fremanezumab and eptinezumab in pregnancy showed no signals of foeto-maternal toxicity according to VigiBase® safety reports.
Food waste quantities and composition in Polish households
Authors: den Boer Jan , Kobel Przemysław , den Boer Emilia , Obersteiner Gudrun
Published: March 2023

Over one-third of the produced food is wasted globally. Most food is wasted at the consumer stage. The use of waste sorting analysis is considered to deliver more precise and less biased results than self-reporting methodologies. Currently, no detailed studies on the amounts and composition of household food waste are available for Poland. In the current paper the results of a food waste generation study in the city of Opole in Poland are presented. Both the residual and biowaste from 1425 citizens living in three different city areas was analysed during five seasonal waste sorting campaigns. The food waste was sorted in 16 avoidable and four non-avoidable fractions. The results of this study showed that in the city of Opole the absolute amount of both the avoidable and non-avoidable food waste is higher in the mixed waste stream than in the biowaste (42.8 kg inh.−1 in the residual waste and 19 kg inh.−1 in the biowaste, yearly). Thus, the total segregation level of food waste constitutes at the moment only 31%. The four main categories of avoidable food waste in the mixed waste are: bread (23.9%), vegetables (23.3%), meat (15.1%) and potatoes (7.8%). For the biowaste, the main four categories include: fruits (35.5%), other vegetables (27.9%), meal leftovers (13.6%) and bread (8.6%). Thus the overall food waste generation is 61.7 kg inh.−1 year−1. When also considering alternative discarding routes (sewerage, fed to animals or home-composted), the total food wastage in Opole amounts to 79.9 kg inh.−1 year−1, out of which 37.1 kg inh.−1 year−1 is avoidable waste and 42.8 kg inh.−1 year−1 non-avoidable waste.
Confronting the Challenges of Undergraduates’ Argumentation Writing in a “Learning How to Learn” Course
Authors: Alexander Patricia A. , Fusenig Jannah , Schoute Eric C. , Singh Anisha , Sun Yuting , van Meerten Julianne E.
Published: March 2023

In this article, we share what we learned about undergraduates’ struggles in writing quality summaries, comparison texts, and argumentative essays that were components of a unique course, Learning How to Learn. This course was designed to address core psychological issues that impede optimal learning for students from all majors, many of whom are preparing to attend professional or graduate school. Although never intended to be a course devoted to academic writing, the struggles we uncovered made it apparent that without addressing these students’ writing difficulties, especially with argumentation, optimal learning was not achievable. For each form of writing central to the course (i.e., summaries, comparisons, and argumentation), we not only describe the challenges we have documented over the past six years, but also the instructional responses we instituted to counter those challenges. We conclude by sharing insights we have garnered from this experience that may serve others who are confronting similar issues in their students’ writing abilities.
A Structural Analysis of Gender-Based Violence and Depression in the Lives of Sexual Minority Women and Trans People
Authors: Williams Charmaine C. , Gibson Margaret F. , Mooney Emily , Forbes Joellean R. , Curling Deone , green datejie cheko , Ross Lori E.
Published: March 2023

This article explores structural mechanisms that are the context for violence and depression in the lives of sexual minority women and trans people in Ontario, Canada. The article draws on interviews with 14 people who reported experiences of depression in the previous year, foregrounding three representative narratives. Narrative and case study analysis reveal that violence is a repeated and cumulative experience over lifetimes, occurring across different interpersonal contexts and institutional encounters. A common theme across the narratives is that experiences of violence are connected to a broader context in which structural arrangements, cultural norms, and institutional processes create conditions where marginalized people are put in harm's way, perpetrators are empowered, and justice and access to help are elusive. As the violence experienced by these sexual minority women and trans people is rooted in structural and cultural oppression represented in poverty, racism, misogyny, homophobia, and transphobia, the prevention of violence and its consequences for these and other marginalized populations requires systemic transformation of the structures and systems that currently allow and perpetuate harm.