bluuebunny/crossref_metadata_2025 huggingface dataset:
Ad Hoc Communication Topology Construction for Delay-Sensitive Internet of Vehicle Applications
Authors: Lee Joong-Lyul , Hwang Jaejin , Park Hyesung , Kim Donghyun
Published: April 2022

Advances in new technologies are changing the Internet of Things (IoTs) from vehicular ad hoc networks (VANETs) to Internet of Vehicles (IoVs). This IoV needs to construct a network topology in order to efficiently send and receive data to Cloud or Fog nodes. In such a topology construction, there are various methods of configuring a topology considering network interference and configuring a topology for energy saving, such as a mobile sensor network. However, there has been no research on the topology construction considering the rapidly high movement of mobile node, characteristic of IoV. In this article, we proposed the k-Lifetime Tree Topology Construction (k-LTTC) algorithm during emergency situations for IoV with highly dynamic characteristics. By applying the time domain to the topology construction, it is guaranteed to maintain the topology for a specific period of time (k-Life Time). The first algorithm is a centralized algorithm to construct k-lifetime tree topology, and the second algorithm is a decentralized algorithm to construct k-lifetime tree topology. We describe the time complexity and message complexity for the mathematical analysis of our proposed algorithms. Furthermore, we provided the simulation results to verify our proposed method.
Factors Affecting the Intention to Use Virtual Stores: Perspectives of Consumers in Saudi Arabia
Authors: Alkarney Wala , Almakki Riyad
Published: April 2022

Companies have explored various forms of virtual reality (VR) shopping, yet what is known about the user adoption behavior of VR apps is minimal and research into VR shopping from a user acceptance perspective is limited. This study investigates the factors that affect the intention to use VR for online shopping through undergoing a virtual shopping experience in the VR app. This is an exploratory study using a quantitative methodology. The findings indicate that telepresence, attitude, perceived control (PC), satisfaction, hedonic motivation (HM), and perceived usefulness (PU) are direct determinants of intention to use, whereas perceived security risk has no effect. Moreover, PEOU, PU, PC, and telepresence are indirect determinants of intention to use. This research is valuable for its identification of the determinants that can affect the adoption of VR in online shopping. This study helps store owners to understand what features will enable a successful implementation of virtual stores (VSs). This study has several limitations. First, the study was conducted using a convenience sample, making it difficult to generalize the results to the whole population. In terms of method, the study was entirely quantitative, using a questionnaire entirely consisting of close-ended questions, so participants were limited in their response options. The final limitation is in the scope of the research, which covered the perceptions of consumers only, while employees’ and ICT experts’ perspectives were not considered. In light of these limitations, this study allows some suggestions for future research directions to be made. (a) The perspectives of employees and ICT experts could be included so that more factors will be generated. (b) Future research could use different methodologies such as mixed methods to gain a deeper understanding of the responses. (c) A longitudinal study could be designed to address any developments occurring in VS features, as e-commerce is continually being developed.
PAS: Performance-Aware Job Scheduling for Big Data Processing Systems
Authors: Li Yiren , Li Tieke , Shen Pei , Hao Liang , Yang Jin , Zhang Zhengtong , Chen Junhao , Bao Liang
Published: April 2022

Big data analytics has become increasingly vital in many modern enterprise applications such as user profiling and business process optimization. Today’s big data processing systems, such as Hadoop MapReduce, Spark, and Hive, treat big data applications as a batch of jobs for scheduling. Existing schedulers in production systems often maintain fair allocation without considering application performance and resource utilization simultaneously. It is challenging to perform job scheduling in big data systems to achieve both low turnaround time and high resource utilization due to the high complexity in data processing logics and the dynamic variation in workloads. In this article, we propose a performance-aware scheduler, referred to as PAS, which dynamically schedules big data jobs in Hadoop YARN and Spark and autonomously adjusts scheduling policies to improve application performance and resource utilization. Specifically, PAS schedules multiple concurrent jobs using different policies based on the predicted job completion time and employs a greedy approach and a one-step lookahead strategy to opportunistically maximize the average job performance while still maintaining a satisfactory level of resource utilization. We implement PAS in Hadoop YARN and evaluate its performance with HiBench, a well-known big data processing benchmark. Experimental results show that PAS reduces the average turnaround time by 25% and the makespan by 15% in comparison with four state-of-the-art schedulers.
Fault Diagnosis Method for Rolling Bearing Based on Sparse Principal Subspace Discriminant Analysis
Authors: Zhou Hongdi , Zhu Lin , Li Xixing
Published: April 2022

Rolling bearings are omnipresent parts in industrial fields. To comprehensively reflect the status of rolling bearing and improve the classification accuracy, fusion information is widely used in various studies, which may result in high dimensionality, redundancy information of dataset, and time consumption. Thus, it is of crucial significance in extracting optimal features from high-dimensional and redundant feature space for classification. In this study, a fault diagnosis of rolling bearings model based on sparse principal subspace discriminant analysis is proposed. It extracts sparse discrimination information, meanwhile preserving the main energy of original dataset, and the sparse regularization term and sparse error term constrained by l2,1-norm are introduced to improve the performance of feature extraction and the robustness to noise and outliers. The multi-domain feature space involved a time domain, frequency domain, and time-frequency domain is first derived from the original vibration signals. Then, the intrinsic geometric features extracted by sparse principal subspace discriminant analysis are fed into a support vector machine classifier to recognize different operating conditions of bearings. The experimental results demonstrated that the feasibility and effectiveness of the proposed fault diagnosis model based on a sparse principal subspace discriminant analysis algorithm can achieve higher recognition accuracy than fisher discriminant analysis and its extensions, and it is relatively insensitive to the impact of noise and outliers owing to the sparse property.
A Novel Low Axis Ratio Double-Circularly Polarized Microstrip Antenna
Authors: Liu Jin-Ku , Zhao Xi-Lai , Zhang Chen-Xin , Wang Zan-Yang
Published: April 2022

This article presents a dual circular polarization (CP) microstrip antenna, emitting electromagnetic waves above and below the substrate, which is fed by the double L-probe. Selecting the L-probe feed increases the bandwidth of the antenna, and different probes control the rotation of CP. The antenna could radiate two polarized waves of the same amplitude and vertical through two square radiation patches; meanwhile, adjusting the phase difference between both waves to 90° will produce a CP wave in the far-field. The simulation and measurement results show that the antenna is in 4.3–4.8 GHz band with S11<−10 dB, S22<−10 dB, and AR<3 dB. Furthermore, a lower axis ratio could be obtained in this work compared with similar antennas of the same type.
Study on Electrical Parameter Matching of Piezoelectric Stack Periodic Strut for Helicopter Cabin Noise Control
Authors: Hui-yu Yue , Yang Lu , Chong Dang , Yi-Fan Qin , Jin-chao Ma , Tian-Yu Zhu
Published: April 2022

The gear meshing noise generated by the helicopter main reducer is one of the important sources of noise in the helicopter cabin. By improving the isolation performance of the struts supporting reducer to the gear meshing vibration, the purpose of reducing the gear meshing noise in the helicopter cabin can be achieved. Piezoelectric stack periodic strut (PSPS) composed of piezoelectric stacks and passive materials periodically arranged is an original type of strut with active and passive hybrid isolation characteristics. Piezoelectric stacks and passive materials form a periodic structure, which makes PSPS have a unique stopband characteristic. The propagation of elastic waves in the stopband frequency range is attenuated, which can improve the broadband passive vibration isolation capability of the PSPS; The piezoelectric stacks can adjust the elastic wave propagation in the PSPS and improve the single-frequency or multifrequency active isolation performance of the PSPS. Since the driving voltage and current range of the piezoelectric stacks significantly affect the isolation performance of the PSPS, this article focuses on the relationship between the isolation performance of the PSPS and the voltage and current required by the piezoelectric stacks. Firstly, based on the passive material periodic structure transfer matrix model, the driving voltage and current of the piezoelectric stacks are introduced into the model, and a PSPS electromechanical coupling model based on the transfer matrix form is established. Secondly, the correctness of the model is verified by the finite element software. Based on the model, the design process of PSPS parameters is proposed. The optimal isolation performance of PSPS is predicted under the limitation of maximum driving voltage and current. The effects of damping loss factor, exciting force, period number and passive material on the requirements of electrical parameters for active control are studied. A three-period PSPS strut composed of piezoelectric stack actuator and PV strut is used for experimental research, and the matching of electrical parameters of this PSPS in the test is analyzed.
On Some
w
−
Interpolative Contractions of Suzuki-Type Mappings in Quasi-Partial b-Metric Space
Authors: Gautam Pragati , Kumar Santosh , Verma Swapnil , Gulati Soumya
Published: April 2022

In this paper, our focus is to acquaint with the Suzuki-type mappings to establish some fixed point results using the new w-interpolative approach. We present some results for interpolative contraction operators via the w-admissible maps which satisfy the Kannan, Ćirić–Reich–Rus, and Hardy–Rogers contractions in quasi-partial b-metric space. Further, the outcomes so obtained are affirmed with relevant examples.
The DeltaN p63 Promotes EMT and Metastasis in Bladder Cancer by the PTEN/AKT Signalling Pathway
Authors: Tian Yong-Hua , He Yun-Feng , Tan Jin-Si , Jiang Yu , Xu Qiao , Cheng Hong-Lin
Published: April 2022

Bladder cancer is a common tumour of the urinary system, and more than 90% is urothelial carcinoma. Therefore, it is important for discovering the key target genes and molecules of bladder tumour cell metastasis and invasion. Our research initially explored the regulation of deltaN p63 on the progression and metastasis of bladder cancer and found that deltaN p63 can influence the occurrence of EMT through PTEN and ultimately regulate the growth and metastasis of bladder cancer. In summary, this study identified a new EMT regulator, deltaN p63, further revealed the mechanism of the invasion and metastasis of bladder cancer cells, and provided a theoretical basis for finding new target molecules and drugs to treat bladder cancer. In conclusion, this study will further reveal the mechanism of tumour cell invasion and metastasis and provide a theoretical basis for cancer treatment to find new target molecules and drugs.
Inverse Problem in Stochastic Approach to Modelling of Microstructural Parameters in Metallic Materials during Processing
Authors: Klimczak Konrad , Oprocha Piotr , Kusiak Jan , Szeliga Danuta , Morkisz Paweł , Przybyłowicz Paweł , Czyżewska Natalia , Pietrzyk Maciej
Published: April 2022

The need for a reliable prediction of the distribution of microstructural parameters in metallic materials during processing was the motivation for this work. The model describing the evolution of dislocation populations, which considers the stochastic aspects of occurring phenomena, was formulated. The validation of the presented model requires the application of proper parameters corresponding to the considered materials. These parameters have to be identified through the inverse analysis, which, on the other hand, uses optimization methods and requires the formulation of the appropriate objective function. In our case, where the model involves the stochastic parameters, it is a crucial task. Therefore, a specific form of the objective function for the inverse analysis was developed using a measure based on histograms. The elaborated original stochastic approach to modeling the phenomena occurring during the thermomechanical treatment of metals was validated on commercially pure copper and selected multiphase steel.
Effects of Hibiscus sabdariffa Calyxes Aqueous Extract on Antioxidant Status and Histopathology in Mammary Tumor-Induced in Rats
Authors: Bassong Thierry Renaud , Kenmogne Larissa Vanelle , Awounfack Charline Florence , Ndinteh Derek Tantoh , Njamen Dieudonné , Zingue Stéphane
Published: April 2022

Breast cancer is a major threat worldwide. Hibiscus sabdariffa is widely consumed as beverage in sub-Saharan Africa for its anticancer potential. The present study therefore aimed at scientifically verifying its anticancer effect in rats. For this, 48 Wistar rats (∼55 days) were treated either with tamoxifen at 3.3 mg/kg BW (standard) or with a decoction of H. sabdariffa (125, 250, and 500 mg/kg BW) or distilled water (vehicle). Breast cancer was induced by a single dose of 50 mg/kg of 7,12-dimethylbenz(a)anthracene (DMBA). At the end of the 21 weeks of treatment, the tumor incidence, tumor morphology, histopathology, as well as some biochemical parameters in the tumors were assessed. As a result, 86% of DMBA’s rats developed mammary tumors. The H. sabdariffa extract (125 and 250 mg/kg) reduced tumor incidence by 63% and 75%, respectively; inhibited tumor burden by 84.86% and 38.78%, respectively, and decreased tumor volume by more than 72% compared to the DMBA group. It also protected rats against DMBA-induced diffuse breast neoplasia, and the optimal effect was recorded at 125 mg/kg. Furthermore, it significantly increases the SOD activity and decreases the MDA level. In summary, H. sabdariffa has antibreast tumor and antioxidant properties in rats, which could justify its common use to treat cancer.
Inflación, memoria e institucionalidad del Banco Central
Authors: Rodríguez Jorge
Published: April 2022

En muchas disciplinas científicas es normal hacer experimentos. Con esos procedimientos se pueden estudiar teorías, comprobar su grado de veracidad, medir efectos de acciones sobre el objeto o fenómeno estudiado y mejorar nuestras intervenciones. En el caso de la economía es más difícil, aunque en algunos ámbitos se está intentando. Eso significa que la investigación se lleva a cabo mayoritariamente midiendo fenómenos pasados. Continuar leyendo...
Translating “Big Data” in Oncology for Clinical Benefit: Progress or Paralysis
Authors: Barker Anna D. , Lee Jerry S.H.
Published: April 2022

The molecular characterization of cancer through genomics, data from multiomics technologies, molecular-driven clinical trials, and internet-enabled devices capturing patient context and real-world data are creating an unprecedented big data revolution across the cancer research-care continuum. While big data has translated to benefit for some patients, it has also created new problems. Our intent in this brief communication is to explore some examples of progress and key challenges that remain. The problems are not intractable, but success will require rethinking and rebuilding an information and evidence-based learning system that moves beyond paralysis to shape a better future for patients with cancer.
The Small Round Cell Sarcomas Complexities and Desmoplastic Presentation
Authors: Domanski Henryk A.
Published: April 2022

Background: Small round cell sarcomas (SRCSs) account for most solid malignancies in the pediatric age group and are a part of group of malignant tumors characterized by heterogenous clinical presentation and overlapping microscopic features of small, round, primitive cells. In addition to the recently established certain genetically defined subset of undifferentiated round cell sarcomas of soft tissue and bone, this group of sarcomas include desmoplastic small round cell tumor, poorly differentiated synovial sarcoma, alveolar rhabdomyosarcoma, mesenchymal chondrosarcoma, and small cell osteosarcoma. Although, those entities share clinical and cytomorphologic features and cannot be unequivocally classified based on clinical presentation and morphology alone. Most of SRCSs characterizes of particular patterns of protein expression or genetic changes and ancillary tests remain necessary to confirm or rule out a specific diagnosis. Subtle but occasionally distinctive cytologic features narrows the number of differential diagnoses and helps to select appropriate ancillary tests necessary for the final diagnosis. Thus, when adequate fine needle aspiration (FNA) biopsy specimen is combined with ancillary tests, a specific histologic diagnosis can be made in almost all cases. However, due to complex cytologic features of SRCS as well as various quality and diversity of FNA smears, there are cases in that cytologic features which do not entirely match the known diagnostic criteria. Summary: The aim of this review was to summarize cytomorphologic criteria and to present rare and divergent cytological features of SRCSs. Careful assessment of clinical presentation, cytological features, immunohistochemical patterns, and molecular alternations is necessary for an accurate diagnosis. Knowing of rare and divergent microscopic findings that does not fit with the known cytological criteria will help to avoid misdiagnosis. Key Messages: The role of FNA biopsies diagnosing soft tissue and bone tumors has been increasing because of the ability of ancillary tests to assist in the diagnosis of specific tumors. SRCSs may be diagnosed accurately in cytology specimens. Access to clinical and radiographic presentation, utility of ancillary tests, understanding complexity of cytological features, and awareness of the rare cytologic findings that differ from that of the established diagnostic criteria are essential to make correct diagnosis.
Heterarchy
Authors: Urciuoli Emiliano R.
Published: April 2022

Transferred from neurophysiology and cybernetics to the humanities and the social sciences by settlement archeologist Carole L. Crumley, the notion of heterarchy, in particular, and heterarchical thinking, in general, have contributed to changing the way in which power structures other than hierarchies are seen as patterns for order in complex societies. The very idea of social complexity has been transformed by challenging the conflation of order with ranked order. New models for cultural evolution also appear when hierarchy is uncoupled from complexity and heterarchical relations are observable all the way to the historical development of a society as well as at different levels of a system. Opening the special issue, this article aims to introduce the concept of heterarchy to specialists of religion by showing benefits and drawbacks of its application to the study of urban religion. Eventually, the purpose of the selected articles is to leverage this promising category to explore and deepen understanding of the millennia-long coevolution of religion and urbanity.
Religious Gentrification as Heterarchies of Urban Planning
Authors: Luz Nimrod
Published: April 2022

This article explores the ways in which religion(s) and religious groups are increasingly contributing to changes in the politics of planning of cities and challenge the hierarchical modern planning order. Following the notion of heterarchy as suggesting a diversity of relationships among elements in a system, the argument is made that the religious-cum-ethnic component is becoming part of an urban habitus that influences and redefines modern urban planning. Taking the case of a recently developed gentrified religious Jewish neighborhood in Acre, a multi-ethnic and multi-religious town in northern Israel, the article follows the ways in which urban planning is being shaped by three interrelated processes: the production of space driven by forms of capitalism intertwined with local heterarchical projects of space and power; a set of social struggles over urban space; and the framing of religious and ethnic urban identity.
Going Unseen in the Medieval and Early Modern Jewish Magical Tradition
Authors: Bellusci Alessia
Published: April 2022

After a brief methodological introduction, the article reconstructs invisibility magic, its uses and rationale in medieval and early modern Jewish culture, based on a rich selection of manuscript texts, many of which remain unpublished. In contrast to other treatments of invisibility magic, it argues that in this specific cultural context the desire of going unseen was often motivated by contingent purposes such as protection on the road and self-defense. Some techniques of Jewish invisibility magic exhibit a marked Jewish character, some were inspired by the observation of nature, others were modulated on popular motifs shared cross-culturally. This study demonstrates that, regardless to their nature, most of these techniques were reworked according to a Jewish taste, proving that invisibility magic was not an extravagant import from foreign traditions, but an integral part of a magical culture shared by many Jews during the Middle Ages and early modern period.
New Culture Turns One Hundred: A Centennial Reflection on the May Fourth and New Culture Movement in Singapore
Authors: Kenley David
Published: April 2022

Centennial commemorations of the May Fourth Movement in Singapore demonstrate how practices of remembrance reinforce but also transcend national and cultural boundaries. Throughout 2019, Singaporeans reflected on the iconoclastic, anti-imperialist, and pro-democracy elements of May Fourth while simultaneously challenging public memories as observed in China. As such, these commemorations shed important light on memory studies, postcoloniality, and Singapore Chinese identity.
Chinese-Medicine Doctors Healing Australians: On the Frontline of Healthcare from the Colonial Period to the Twenty-First Century
Authors: Flowers James
Published: April 2022

This article traces Chinese-medicine doctors as an occupational group that played a key role in colonial Australian healthcare. The current narrative of recent history mostly credits prc migrants, beginning from the 1990s and the prc state in the 2000s, with the field’s achievement of professional registration. This established view is shortsighted and distorts the past. Rather, Chinese medicine traveled to Australia with Chinese migrants since the mid-nineteenth century; they brought with them sophisticated business acumen along with medical expertise, as seen in commercialized raw and patent medicines brought from a highly developed pharmaceutical industry in mainland China and Hong Kong. They were competitive with Western-trained doctors, as seen in court documents as well as in newspaper advertisements of the time, and established their status through lineage connections and acupuncture associations before any influence from the prc.
First fossil representative of the sawfly subfamily Blennocampinae (Hymenoptera: Tenthredinidae)
Authors: NEL ANDRÉ , NIU GENG-YUN , WEI MEI-CAI
Published: April 2022

Eutomostethus karimae sp. nov., the first fossil representative of the sawfly subfamily Blennocampinae, is described from the Eocene Green River Formation (Colorado, USA). Extant representatives of the genus Eutomostethus are distributed in the Palaearctic and the Oriental regions, with two species probably introduced by humans in the Nearctic Region. The presence of a fossil related to this genus in the Eocene of North America is in accordance with the different land bridges present at that time and allowing important entomofaunal exchanges between this region and Eurasia. The present discovery also corroborates the recent estimate of the divergence of the subfamily Blennocampinae at the extreme end of the Cretaceous.
Description of a new genus and two new species of the funnel-web mygalomorph (Araneae: Mygalomorphae: Macrothelidae) from China with notes on taxonomic amendments
Authors: TANG YA-NI , WU YA-YING , ZHAO YU , YANG ZI-ZHONG
Published: April 2022

A new genus of the spider family Macrothelidae Simon, 1892, Vacrothele Tang & Yang gen. nov. is described, along with two new species: V. pseudohunanica sp. nov., V. uncata sp. nov.. Three Macrothele species are transferred to the new genus: V. hunanica (Zhu & Song, 2000) comb. nov., V. digitata (Chen & Jiang, 2020) comb. nov., and V. palpator (Pocock, 1901) comb. nov..
Review of amphipods of the family Pleustidae Buchholz, 1874 (Amphipoda) from the coastal waters of Sakhalin Island (Far East of Russia). II. Subfamily Eosymtinae Bousfield & Hendrycks, 1994
Authors: LABAY VJACHESLAV S.
Published: April 2022

A taxonomic analysis of subfamily Eosymtinae Bousfield & Hendrycks, 1994 is performed. A review of subfamily Eosymtinae from the shelf of Sakhalin Island and adjacent area based on all literature and own data is provided. Based on new material, the new species Eosymtes magnumoculis sp. nov. is described from the shelf of Sakhalin Island and Kamchatka Peninsula. The range of Cognateosymtes serraticoxae Labay, 2018 is expanded. A key to the amphipod genera of the subfamily Eosymtinae is given. The key to the species of genus Eosymtes is provided.
Taming Tech Giants: The Neglected Interplay Between Competition Law and Data Protection (Privacy) Law
Authors: Kerber Wolfgang
Published: April 2022

The debate about the economic power of large tech firms has led to the insight that due to the key role of personal data on large digital platforms competition and privacy issues are deeply intertwined. This leads also to a complex relationship between competition law and data protection (or privacy) law, and—also from an economic perspective—the need for policy-makers to take into account the interplay between both legal regimes. This article analyzes current discussions about (1) how to integrate privacy effects into traditional competition law and (2) the far-reaching reform discussions about taming the power of the large tech firms, for example, the Digital Markets Act in the European Union or the new antitrust discussion in the United States, with respect to the question whether and to what extent they take into account this interplay between competition policy and data protection (or privacy) law. It is surprising that also the second reform discussion, which directly intends to target the power of the large tech firms, does not take into account sufficiently this interplay and the ensuing need for a more collaborative approach between these policies. Therefore, the opportunities of developing a more effective joint strategy for achieving better both competition and privacy are still missed.
Coupling Pulse Radiolysis with Nanosecond Time-Resolved Step-Scan Fourier Transform Infrared Spectroscopy: Broadband Mid-Infrared Detection of Radiolytically Generated Transients
Authors: Grills David C. , Layne Bobby H. , Wishart James F.
Published: April 2022

We describe the first implementation of broadband, nanosecond time-resolved step-scan Fourier transform infrared (S2-FT-IR) spectroscopy at a pulse radiolysis facility. This new technique allows the rapid acquisition of nano- to microsecond time-resolved infrared (TRIR) spectra of transient species generated by pulse radiolysis of liquid samples at a pulsed electron accelerator. Wide regions of the mid-infrared can be probed in a single experiment, which often takes < 20–30 min to complete. It is therefore a powerful method for rapidly locating the IR absorptions of short-lived, radiation-induced species in solution, and for directly monitoring their subsequent reactions. Time-resolved step-scan FT-IR detection for pulse radiolysis thus complements our existing narrowband quantum cascade laser-based pulse radiolysis-TRIR detection system, which is more suitable for acquiring single-shot kinetics and narrowband TRIR spectra on small-volume samples and in strongly absorbing solvents, such as water. We have demonstrated the application of time-resolved step-scan FT-IR spectroscopy to pulse radiolysis by probing the metal carbonyl and organic carbonyl vibrations of the one-electron-reduced forms of two Re-based CO2 reduction catalysts in acetonitrile solution. Transient IR absorption bands with amplitudes on the order of 1 × 10−3 are easily detected on the sub-microsecond timescale using electron pulses as short as 250 ns.
How to Promote Social Entrepreneurship on Urban Education? An Active Learning Implementation
Authors: Capella-Peris Carlos , Cosgrove Mary Margaret , Salvador-García Celina , Maravé-Vivas María
Published: April 2022

This paper analyzes the effects of active learning (AL) on the social entrepreneurship (SE) of physical education teacher education students ( n = 158) from an Urban School. AL participants applied several strategies including but not limited to flipped classroom, problem solving, team projects, or case studies. The topic was approached using mixed methods with methodological triangulation. Quantitative evidence was gathered through a quasi-experimental design of six non-equivalent groups implementing the Social Entrepreneurship Competency Scale (SECS). Meanwhile, qualitative analysis was undertaken analyzing 119 reflective journals. Quantitative results provide significant evidence regarding the positive effect of AL on SE. Qualitative analysis complements this view describing how SE was developed (e.g., providing-receiving feedback among peers). Additionally, data transformation displays an alternative analysis of the benefit provided. Our results display how AL improves SE of physical education teacher education students, enhancing new research into this direction to meet current education demands.
“You Can Only Choose From the Things You Know”: Engaging With Students’ Dark and Politicized Funds of Knowledge in the Music Classroom
Authors: Bylica Kelly
Published: April 2022

This article uses the lens of border crossing to consider the ways in which middle school music students and their teachers engaged with dark and politicized funds of knowledge. Through the development of music composition projects, students and educators shared, challenged, and problematized issues of race, immigration, and urban identity as they grappled with the complexities inherent in their knowledges and experiences. This article explores how these projects served as catalysts for dialogue that challenged unidirectional understandings of knowledge, encouraged dispositional reflection, and amplified the need for dynamic pedagogical practices that seek to connect learning practice with in-the-world experiences.
Fanon on the Arbitrariness of Using Violence: An Inevitable for Both Colonialism and Decolonization
Authors: Ndayisenga Zenon
Published: April 2022

This article examines Fanon’s reasoning on the inevitability of using violence for both antagonistic projects of colonialism and decolonization. Based on Fanon’s political thought, the article explores how the mono-concept of violence is interpreted differently. Such a lack of harmony in the interpretation of the concept of violence has called this article to be undertaken for an examination of Fanon’s conception of violence, hence he reveals that the use of violence is unavoidable for both colonialism and (genuine) decolonization. In that perspective, Fanon shows how since the first launch of the conquest, colonizers had to arbitrarily use violence, the same violence that is still characterizing the long-lasting project of colonialism. Likewise, for the realization of full decolonization, Fanon’s concern is that the colonized subjects have to launch back the same accumulated violence, for them to travel to a new world—a world lived by new human beings who are genuinely decolonized.
The Western Indian Ocean African Diaspora and #BlackLivesMatter: Situating Siddi, Sheedi, and Ceylon African Struggles and Politics
Authors: Jayawardene Sureshi M.
Published: April 2022

This article is based on a content analysis of eight digital news reports published between June 2020 and March 2021 that link anti-Blackness in South Asia to the concerns of #BlackLivesMatter following George Floyd’s murder and the heightened global attention to issues of anti-Black racism against African Americans. In this study, I ask the following questions regarding these news reports: (1) How do these accounts present Afrodiasporic communities in South Asia relative to the concerns of #BlackLivesMatter? (2) What kind of impact does the use of #BlackLivesMatter to bring attention to South Asia’s racism have on Siddis, Sheedis, and Ceylon African communities? This paper contributes additional interpretive and analytical material to scholarship on racialization in South Asian societies, political intimacies between Afrodiasporic communities in geographically disparate parts of the world, and the need for cultural validity in journalistic accounts engendering #BlackLivesMatter to legitimate the connective tissue of this global Black political movement.
Advances in Head and Neck Cancer Pain
Authors: Ye Y. , Jensen D.D. , Viet C.T. , Pan H.L. , Campana W.M. , Amit M. , Boada M.D.
Published: April 2022

Head and neck cancer (HNC) affects over 890,000 people annually worldwide and has a mortality rate of 50%. Aside from poor survival, HNC pain impairs eating, drinking, and talking in patients, severely reducing quality of life. Different pain phenotype in patients (allodynia, hyperalgesia, and spontaneous pain) results from a combination of anatomical, histopathological, and molecular differences between cancers. Poor pathologic features (e.g., perineural invasion, lymph node metastasis) are associated with increased pain. The use of syngeneic/immunocompetent animal models, as well as a new mouse model of perineural invasion, provides novel insights into the pathobiology of HNC pain. Glial and immune modulation of the tumor microenvironment affect not only cancer progression but also pain signaling. For example, Schwann cells promote cancer cell proliferation, migration, and secretion of nociceptive mediators, whereas neutrophils are implicated in sex differences in pain in animal models of HNC. Emerging evidence supports the existence of a functional loop of cross-activation between the tumor microenvironment and peripheral nerves, mediated by a molecular exchange of bioactive contents (pronociceptive and protumorigenic) via paracrine and autocrine signaling. Brain-derived neurotrophic factor, tumor necrosis factor α, legumain, cathepsin S, and A disintegrin and metalloprotease 17 expressed in the HNC microenvironment have recently been shown to promote HNC pain, further highlighting the importance of proinflammatory cytokines, neurotrophic factors, and proteases in mediating HNC-associated pain. Pronociceptive mediators, together with nerve injury, cause nociceptor hypersensitivity. Oncogenic, pronociceptive mediators packaged in cancer cell–derived exosomes also induce nociception in mice. In addition to increased production of pronociceptive mediators, HNC is accompanied by a dampened endogenous antinociception system (e.g., downregulation of resolvins and µ-opioid receptor expression). Resolvin treatment or gene delivery of µ-opioid receptors provides pain relief in preclinical HNC models. Collectively, recent studies suggest that pain and HNC progression share converging mechanisms that can be targeted for cancer treatment and pain management.
Effects of Sleep Restriction on Self-Reported Putting Performance in Golf
Authors: Nishida Masaki , Chiba Taishi , Murata Yusuke , Shioda Kohei
Published: April 2022

In the present study, we aimed to explore the effects of sleep restriction (SR) on self-reported golf putting skills. Eleven collegiate golfers participated in a self-reported, counterbalanced experimental study under two conditions: (a) a SR condition in which sleep on the night prior to putting was restricted to 4–5 hours, and (b) a habitual normal sleep (NS) condition on the night before the putting test. Following each sleep condition, participants engaged in ten consecutive putting tests at 7 am, 11 am, and 3 pm. Participants reported their subjective sleepiness before each time frame, and their chronotype, defined as their individual circadian preference, was scored based on a morningness–eveningness questionnaire (MEQ). Participants restricted sleep to an average period of 267.6 minutes/night ( SD = 51.2 ) in the SR condition and 426.2 ( SD =38.0) minutes/night in the NS condition. A two-way analysis of variance revealed a significant main effect of the sleep condition on the lateral displacement of putts from the target (lateral misalignment) ( p = 0.002). In addition, there was a significant main effect of time on distance from the target (distance misalignment) ( p = 0.017), indicating less accuracy of putting in the SR condition. In the SR condition, the MEQ score was positively correlated with distance misalignment at 3 pm ( ρ = 0.650, p = 0.030), suggesting that morningness types are susceptible to the effects of SR on putting performance. Our findings suggest that golfers should obtain sufficient sleep to optimize putting performance.
Making Appropriate New Choices Through Unconscious Thought Based on New Goals
Authors: Li Jiansheng , Sun Lina , Guo Hao , Shi Kai , Chen Luyu
Published: April 2022

This research examines whether appropriate choices can be made based on a new goal through unconscious thought. The experimental materials are four mobile phones, one suitable for older adults and the other for younger people. The results of Experiment 1 show that when the goal was changed from judging whether a mobile phone is suitable for older adults to judging whether it is suitable for younger people, the scores of the participants in the unconscious thought group—that mobile phones are objectively suitable for older adults—were significantly higher than those for the group which thought that mobile phones are objectively suitable for young people. In Experiment 2, the immediate decision-making group was added, which ruled out the possibility that the participants had already made a choice during the information presentation process. The results of this study show that unconscious thought can make appropriate new choices based on new goals.
Factors Impacting Functioning Level of Cancer Survivors in Turkey
Authors: Kaya Cahit , Chan Fong , Bezyak Jill
Published: April 2022

The purpose of this study was to investigate the relationships between demographic variables, personal factors, impairment-related variables, and functioning levels of cancer survivors in Turkey. Data for this study were collected from a major oncology institute and a nonprofit cancer organization in Turkey. Hierarchical regression analyses were conducted to investigate the sequential effect of demographic variables (i.e., age, gender, income, and education), personal factors (i.e., core self-evaluations, purpose in life, and religiosity), and impairment-related variables (i.e., pain, fatigue, perceived stress, and sleep disturbance) on the functioning level of Turkish cancer survivors (i.e., physical functioning, role functioning, emotional functioning, cognitive functioning, and social functioning). The results indicated that impairment-related variables explained a significant amount of variance in functioning scores above and beyond demographic and personal factors. Pain intensity and perceived stress were most prominent factors impacting functioning levels of Turkish cancer survivors. Pain and stress self-management training, psychotherapy and counseling, physical activity and exercise, and cognitive remediation training are recommended interventions to increase the functioning level and well-being of cancer survivors.
A new parametric 3D human body modeling approach by using key position labeling and body parts segmentation
Authors: Chi Cheng , Zeng Xianyi , Bruniaux Pascal , Tartare Guillaume , Jin Hongshu
Published: April 2022

The current three-dimensional human models used in the apparel industry are mostly rigid and lack semantic information on body positions and body parts. Therefore, it is difficult for designers to make accurate, fast and effective designs from these models. This paper proposes a new parametric three-dimensional human body model based on key position labeling and optimized body parts segmentation. First, by using experts’ professional knowledge, we manually realize accurate human body data measurements as well as their interpretation and classification, and extract relevant human body features. After deep analysis, measured data irrelevant to body shape have been excluded by designers. Furthermore, the relation between body shapes and body features have been modeled. Second, based on this relational model, we label key positions on the corresponding three-dimensional body model obtained by scanning and segmenting the whole three-dimensional human body into semantically interpretable body parts. In this way, two databases have been created, enabling us to identify features of all segmented body parts, whose combination corresponds to the whole body shape. Third, for a specific consumer, his/her personalized three-dimensional human model can be obtained by taking a very few number of body measurements on himself/herself, making an appropriate combination of the identified body parts, and adjusting parameters of all involved body parts. By comparing the proposed labeled and segmented three-dimensional human model and the existing human models through a number of experiments, the proposed model leads to more relevant results with high accuracy and high visual quality related to real human body shapes.
A study on the shaping efficacy grading model of underbust corsets based on three-dimensional body scanning
Authors: Zuo Kaiyue , Wang Yongrong , Li Haixia , Wu Chanhui , Wen Huihua , Zhu Wenhui
Published: April 2022

The aim is to establish a shaping efficacy grading model for underbust corsets by exploring the pressure and shaping efficacy. Nine Chinese female college students aged 20–25 years old were employed in the pressure test and shaping efficacy experiment. In the pressure test, the pressures were measured at 31 points before and after wearing underbust corsets. In the shaping efficacy experiment, participants underwent three-dimensional body scanning before and after wearing underbust corsets. By analyzing the relationship between the pressure and shaping efficacy of underbust corsets, a shaping efficacy grading model characterized by pressure was established using the indirect grading method: when the comprehensive pressure values of the underbust circumference (UBC), waist circumference (WC) and abdominal circumference (AC) are 0–1.8, 1.8–2.4 and 2.4–3.4 kPa, the shaping efficacy of underbust corsets should be Grades I, II and III, respectively. Finally, the applicability of the grading model obtained is discussed, and the optimized model of underbust corsets based on the average pressure values is established: when the average pressure values of the UBC, WC and AC are 0–1.4, 1.4–2.1 and 2.1–3.4 kPa, the shaping efficacy of underbust corsets should be Grades I, II and III, respectively.
Suprachoroidal injection of triamcinolone acetonide using a custom-made needle to treat diabetic macular edema post pars plana vitrectomy: a case series
Authors: Marashi Ameen , Zazo Aya
Published: April 2022

Objective

Diabetic macular edema (DME), the most common cause of diabetes-related visual impairment, may occur following pars plana vitrectomy (PPV) to manage proliferative diabetic retinopathy complications. This retrospective single-centre case series evaluated the efficacy and safety of injecting 4 mg/0.1 ml triamcinolone into the suprachoroidal space using a custom-made needle to treat DME post PPV.

Methods

Data regarding central macular thickness (CMT) using spectral domain-optical coherence tomography and best-corrected visual acuity (by Snellen chart) at baseline (pre-injection), and at 1, 4, and 8 weeks following injection were analysed, along with intraocular pressure (IOP), cataract progression, and ocular safety.

Results

Eleven eyes in 10 patients received 11 suprachoroidal injections. Vision improvement was noted (0.75 log minimum angle of resolution (MAR) at baseline to 0.40 log MAR after treatment). CMT reduced significantly from 456.45 ± 113.42 μm at baseline to 247.63 ± 53.40 μm at 8 weeks following injection. No rise in IOP, or cataract development in the single treated phakic eye, was observed during 8 weeks of follow-up.

Conclusion

Suprachoroidal injection of triamcinolone using a custom-made needle to treat DME post PPV shows promising results with acceptable safety outcomes. Large clinical trials with longer follow-up are needed to evaluate this treatment option for countries with limited health-care resources.
Method to Reduce Uncertainty in the Prediction of Pavement Condition With a Lower Sample Frequency
Authors: Goenaga Boris , Karanam Deepika , Underwood Benjamin Shane
Published: April 2022

In this paper, the effect of missing pavement condition observations in the predictions of the future state of a road network was evaluated. Real data from North Carolina were used for this purpose. First, the auto-regression method was compared against the most common “family-curve” modeling approach. It was found that the auto-regression method improves the predictive accuracy of predictions, at both project and network levels. By using the auto-regression method over the “family-curve” approach it is possible to reduce, on average, the Mean Absolute Percent Error of the predictions by 40%. Second, this paper evaluates the case in which a reduced survey frequency is unavoidable, and state highway agencies might need to plan the network maintenance based on historical observations and the subsample of the current condition. Observations of the Pavement Condition Rating for years 2013–2019 were used to define four different scenarios of reduced survey frequency: Scenario 1—“business-as-usual,” where the entire network is surveyed every year; Scenario 2—“reduced-sampling,” analyzed the case where the entire network is surveyed every other year; Scenario 3—“halfway-sampling,” evaluates the case where only half of the network is surveyed every year; and Scenario 4—“least-sampling,” considers the case where only a third of the network is monitored every year. Scenario 1 was used as the baseline of comparison, and as expected it was found that whenever possible the network should be monitored annually; however, if that is not feasible the best option, from the ones evaluated in the paper, should be Scenario 3.