bluuebunny/crossref_metadata_2025_split huggingface dataset:
Factors influencing the adoption of industrial internet of things for the manufacturing and production small and medium enterprises in developing countries
Authors: Shah Sajid , Hussain Madni Syed Hamid , Hashim Siti Zaitoon Bt. Mohd , Ali Javed , Faheem Muhammad 
Published: January 2024

AbstractSmall and Medium Enterprises (SMEs) are steadily moving in the direction of implementing digital and smart technologies, including the Industrial Internet of Things (IIoT) for improving their products and services. The adoption of IIoT allows manufactures and producers to make quick decisions for improving productivity and quality in real‐time. For this purpose, the era of digital industrial revolution from IR 1.0 to IR 5.0 is briefly explained. In this research study, the authors have reviewed and analysed the existing reviews, surveys and technical research studies on IIoT technologies for the manufacturing and production SMEs to highlight the concern raised. Forty‐seven (47) influencing factors are identified and classified into four groups based on the TOEI framework. Based on the identified influencing factors, IIoT adoption model is proposed for the manufacturing and production SMEs to adopt the new IIoT technologies in their business environments. Furthermore, a comparative analysis of the influencing factors has been done for the adoption of IIoT to increase efficiency, productivity and competitiveness for the manufacturing and production SMEs in developing countries. The proposed IIoT adoption model will help future policymakers and stakeholders to develop policies and strategies for the successful adoption and implementation of IIoT in manufacturing and production SMEs in developing countries. Also, recommendations are suggested to encourage IIoT adoption in production and manufacturing environments so that manufacturers and producers can respond easily and quickly to highly changing demands, product trends, skills gaps and other unexpected challenges in the future.
Using dynamic state estimation to detect loss of excitation in synchronous generators
Authors: Momeni Ehsan , Yaghobi Hamid , Shahzadi Ali 
Published: January 2024

AbstractOne of the common methods to detect Loss of Excitation (LOE) is the impedance‐based technique. But it is too slow, and may show incorrect performance when faced with power system disturbances like stable power swings (SPS). To improve the aforementioned problems, a new index is introduced based on the change of transient states of the synchronous generator which are estimated by Extended Kalman filter (EKF). The principal idea of the proposed method is that the angle between the transient voltage and q‐axis internal voltage phasor will be increasing during LOE events. Therefore, this angle and its derivative are used. Estimation of the internal variables of the generator is used to achieve the angle between transient voltage and internal voltage phasor. To evaluate the efficiency of this algorithm, numerous simulations are performed on various networks and in different operating conditions. The simulation results of the method demonstrate that this approach both reduces the detection time in most cases and improves its security in the encounter of the other disturbances. Experimentally, the performance of the proposed method is evaluated by using a 5 kVA laboratory generator. Experimental studies show that the presented algorithm performed correctly detects LOE and SPS conditions.
Use and Impact of Pessary, Cerclage, and Progesterone for the
Secondary Prevention of Preterm Birth: Data from the German Neonatal
Network
Authors: Hanke Kathrin , Fortmann Mats Ingmar , Auerswald Gesa Henrike , Härtel Christoph , Olbertz Dirk , Roll Claudia , Grüttner Berthold , Wieg Christian , Breunig Stephanie , Rody Achim , Felderhoff-Müser Ursula , Herting Egbert , Göpel Wolfgang , Bossung Verena 
Published: January 2024

Abstract
Background To evaluate the use and effect of cervical stitch cerclage,
pessary, and progesterone on pregnancy outcome in mothers of very low birth
weight infants (VLBWI) born<32 weeks of gestation in the German Neonatal
Network (GNN).
Methods The GNN is a population-based cohort study enrolling VLBWI since
2009. We included 575 neonates from 424 mothers into our analysis, who were born
between 2015 and 2019, after prenatal intervention with cerclage, pessary,
progesterone or a combination between 20/0 to 25/0 weeks of
gestation to prevent preterm birth. Median intervention-to-birth interval was
the primary endpoint.
Results 231 of 424 pregnant women had a cerclage only (54.5%), 76
women a pessary only (17.9%), and 27 were prescribed progesterone only
(15.3%). The most common combination treatment (>1 intervention
group) was cerclage plus progesterone (n=27), followed by cerclage plus
pessary (n=13). The median intervention-to-birth interval for the whole
cohort was 24 days (IQR 19.0 days). The earlier the intervention was started,
the longer the intervention-to-birth interval lasted: When started at 20 weeks,
the interval was 34 days in contrast to 11.5 days, when started at 25 weeks. The
>1 group was born at a significantly higher median GA with 27.0 weeks
(IQR 2.9 weeks) and a higher median birth weight of 980 g (IQR
394 g) accordingly.
Conclusion We propose that the earliest possible start of intervention
leads to the most efficient pregnancy prolongation.
Effect of an online educational module incorporating real-time feedback on accuracy of polyp sizing in trainees: a randomized controlled trial
Authors: Mun Elijah J. , Yen Timothy , Hochheimer Camille J. , Tarter Wyatt , Kaltenbach Tonya , Keswani Rajesh N. , Wani Sachin , Patel Swati G. 
Published: January 2024

Abstract
Background Although polyp size dictates surveillance intervals, endoscopists often estimate polyp size inaccurately. We hypothesized that an intervention providing didactic instruction and real-time feedback could significantly improve polyp size classification.
Methods We conducted a multicenter randomized controlled trial to evaluate the impact of different components of an online educational module on polyp sizing. Participants were randomized to control (no video, no feedback), video only, feedback only, or video + feedback. The primary outcome was accuracy of polyp size classification into clinically relevant categories (diminutive [1–5mm], small [6–9mm], large [≥10mm]). Secondary outcomes included accuracy of exact polyp size (inmm), learning curves, and directionality of inaccuracy (over- vs. underestimation).
Results 36 trainees from five training programs provided 1360 polyp size assessments. The feedback only (80.1%, P=0.01) and video + feedback (78.9%, P=0.02) groups had higher accuracy of polyp size classification compared with controls (71.6%). There was no significant difference in accuracy between the video only group (74.4%) and controls (P=0.42). Groups receiving feedback had higher accuracy of exact polyp size (inmm) and higher peak learning curves. Polyps were more likely to be overestimated than underestimated, and 29.3% of size inaccuracies impacted recommended surveillance intervals.
Conclusions Our online educational module significantly improved polyp size classification. Real-time feedback appeared to be a critical component in improving accuracy. This scalable and no-cost educational module could significantly decrease under- and overutilization of colonoscopy, improving patient outcomes while increasing colonoscopy access.
Outcomes of Surgical Treatment of Vaughan-Jackson Syndrome
Authors: Mcintyre Joshua L. , Stirling Paul H.C. , Mceachan Jane 
Published: January 2024

Abstract
Background Vaughan-Jackson syndrome (VJS) is the attritional rupture of the extensor tendons secondary to arthritis or inflammation affecting the distal radioulnar joint. The surgical outcomes following Darrach's procedure and tendon transfers are not well described. The primary aim of this study was to report patient-reported functional outcome measures after surgery for VJS. Secondary aims were to report health-related quality-of-life scores, patient satisfaction, and complications
Methods A single-center retrospective study was performed to identify patients who underwent surgical intervention for the management of VJS. Patient-reported outcomes were measured using the Patient-Rated Wrist and Hand Evaluation (PRWHE), Quick version of the Disability of the Arm, Shoulder, and Hand (QuickDASH), EuroQoL 5-dimensions 5-Likert (EQ-5D-5L), and calculation of the Net Promoter Score (NPS).
Results We report postoperative patient-reported functional outcome measures for 12 cases of VJS treated with distal ulna excision and extensor tendon transfer. The mean age was 69 years (range: 45–87 years; standard deviation [SD]: 14.1), and eight patients were females. Five patients had rheumatoid arthritis, and there was one case each of seronegative polyarthritis, ankylosing spondylitis, and CREST (calcinosis, Raynaud phenomenon, esophageal dysmotility, sclerodactyly, and telangiectasia.) syndrome; the rest of the patients had osteoarthritis. At a mean of 53 months of follow-up, the mean PRWHE score was 34.5 (SD: 17.9), the mean QuickDASH score was 28.2 (SD: 18.6), and the mean EQ-5D-5L score was 0.71 (SD: 0.203). Ten patients were satisfied and the NPS was 42. Postoperatively eight patients had pain scores reported as none or mild, three as moderate, and one as severe. Two patients required further operations, both undergoing total wrist arthrodesis.
Conclusion Although a degree of functional deficit persists after Darrach's procedure and tendon transfer for treatment of VJS, there are also high levels of patient satisfaction, a good NPS, and a low rate of operative reintervention.
Level IV evidence.
Scapular Osteotomy for Lateral Access to a T1-2 Foraminal Disc Extrusion, Treated by Mini-Hemilaminectomy in a Dog
Authors: Nicolas Marie , Bureau Stéphane , Job Chloé , Guillemot Alexandre 
Published: January 2024

AbstractA 4-year-old female spayed French bulldog was presented with a 2-day history of neck pain and left thoracic limb lameness with no neurological deficits. A computed tomography (CT) examination showed a left foraminal T1-2 disc extrusion. Surgical management was performed using a left lateral approach to the vertebral column with a scapular osteotomy. A T1-2 mini-hemilaminectomy was performed. The scapular osteotomy was stabilized with two 2.4-mm locking compression plates. The postoperative CT and radiographic examinations showed adequate decompression of the T1-2 foramen and good reduction in the scapular osteotomy. The dog was able to walk the following day. At the 1-month follow-up, the dog had no neck pain but persistent slight left thoracic limb lameness. Ten months postoperatively, a CT scan showed no abnormalities at the surgical site, and the dog had no neurological deficits nor lameness. The aim of this case report was to describe a new lateral approach to T1-2 intervertebral space.
Viral Pneumonia: From Influenza to COVID-19
Authors: Cilloniz Catia , Dy-Agra Guinevere , Pagcatipunan Rodolfo S. , Torres Antoni 
Published: January 2024

AbstractRespiratory viruses are increasingly recognized as a cause of community-acquired pneumonia (CAP). The implementation of new diagnostic technologies has facilitated their identification, especially in vulnerable population such as immunocompromised and elderly patients and those with severe cases of pneumonia. In terms of severity and outcomes, viral pneumonia caused by influenza viruses appears similar to that caused by non-influenza viruses. Although several respiratory viruses may cause CAP, antiviral therapy is available only in cases of CAP caused by influenza virus or respiratory syncytial virus. Currently, evidence-based supportive care is key to managing severe viral pneumonia. We discuss the evidence surrounding epidemiology, diagnosis, management, treatment, and prevention of viral pneumonia.
Inherited Pediatric Neurotransmitter Disorders: Case Studies and Long-Term Outcomes
Authors: Hang Shyann , Prasad Chitra , Rupar C. Anthony , Agnihotri Richa , Prasad Asuri N. 
Published: January 2024

AbstractPrimary pediatric neurotransmitter disorders include genetic defects of neurotransmitter metabolism that may mimic common neurological conditions in children. Our objective was to evaluate the clinical experience and outcomes of affected patients. Five patients with primary neurotransmitter defects were identified in the neurometabolic database between 2004 and 2022. Two patients with 6-pyruvoyltetrahydropterin synthase deficiency and one with pyridoxine-dependent epilepsy (PDE) presented in the neonatal period. One patient with succinic semialdehyde dehydrogenase (SSADH) deficiency and one with aromatic l-amino acid decarboxylase (AADC) deficiency presented in later life. A diagnosis of cerebral palsy was revised following biochemical confirmation of SSADH deficiency. AADC deficiency was confirmed via exome sequencing and reduced activity on enzyme assay. Late diagnosis in the latter two cases was likely due to a low index of suspicion and lack of access to diagnostic tests in the country of origin. In two children with tetrahydrobiopterin deficiency, newborn screening results and atypical clinical features prompted investigations. An early diagnosis of PDE was established based on presenting features, a high index of suspicion, the presence of an identifiable biochemical marker and molecular genetic testing. Pediatric neurotransmitter disorders can be diagnosed based on a high clinical index of suspicion, availability of biochemical markers, and molecular genetic testing. These disorders, though rare, need to be included in the differential diagnosis of common neurological presentations in children as they may be potentially treatable. Outcomes and influencing factors in the present series are discussed in comparison to published data.
Hemoperitoneum Quantification in Non-contrast CT: Evaluating Feasibility with the Novel HUVAO Segmentation Algorithm
Authors: Bhagawati Rahul , Hazarika Suman , Gupta Cota Navin , Chanda Souptick 
Published: January 2024

Abstract
Background Injuries involving substantial bleeding, frequently encountered in victims of road traffic accidents, pose a significant risk to mortality. For abdominal trauma cases, accurately assessing internal bleeding and hematomas becomes crucial. Detecting hemoperitoneum, which indicates both blood loss and organ damage in the abdominal cavity, requires precise evaluation. Timely diagnosis and quantification of hemoperitoneum following road accidents are crucial during the critical golden hour, enabling prioritized medical intervention and potentially saving lives while enhancing overall patient care. However, achieving precise hemoperitoneum quantification in abdominal trauma faces challenges due to the intricate nature of overlapping Hounsfield unit (HU) regions.
Methods In this feasibility study, we sought to assess the efficacy of the novel HUVAO (Hounsfield Unit-based Volume quantification of Asymmetrical Objects) segmentation algorithm for quantifying hemoperitoneum in thoracoabdominal non-contrast computed tomography (CT) images. Using 28 retrospective non-contrast CT scans of thoracoabdominal regions from trauma patients, we analyzed crucial imaging data without necessitating additional scans or contrast-enhanced procedures. The study aimed to compare HUVAO against classical algorithms and visual estimations by trained radiologists for hemoperitoneum segmentation in thoracoabdominal non-contrast CT images.
Results Our findings revealed that although the technical feasibility of employing HUVAO and other segmentation algorithms for hemoperitoneum quantification is evident, the outcomes derived from these algorithms display notable discrepancies.
Conclusion In assessing technical feasibility, we introduced the HUVAO segmentation algorithm for hemoperitoneum quantification, comparing its performance against classical segmentation algorithms and visual estimations from trained radiologists. While our results affirm the technical feasibility of HUVAO for this purpose, the observed variations underscore the task's inherent complexity. This emphasizes the limitations of relying solely on HU-based detection, advocating for integration with clinical data. This insight urges exploration of advanced techniques to boost accuracy and elevate patient care standards.
Energy transfer enhanced photoluminescence of 2D/3D CsPbBr3 hybrid assemblies
Authors: Wang Chenxu , Si Jinhai , Yan Lihe , Li Ting , Hou Xun 
Published: January 2024

Energy transfer has been proven to be an effective method to optimize optoelectronic conversion efficiency by improving light absorption and mitigating nonradiative losses. We prepared 2D/3D CsPbBr3 hybrid assemblies at different reaction temperatures using the hot injection method and found that the photoluminescence quantum yields (PLQYs) of these hybrids were greatly enhanced from 53.4% to 72.57% compared with 3D nanocrystals (NCs). Femtosecond transient absorption measurements were used to study the PLQY enhancement mechanisms, and it was found that the hot carrier lifetime improved from 0.36 to 1.88 ps for 2D/3D CsPbBr3 hybrid assemblies owing to the energy transfer from 2D nanoplates to 3D NCs. The energy transfer benefits the excited carrier accumulation and prolonged hot carrier lifetime in 3D NCs in hybrid assemblies, as well as PLQY enhancement in materials.
Negotiating trust through COVID-19 press briefings
Authors: Bunnag Orawee , Chaemsaithong Krisda 
Published: January 2024

Abstract
Drawing from televised COVID-19 press briefings, this study explicates how the interplay between verbal and visual
resources help policy makers restore public trust following organization-level failures by neutralizing unfavorable discourses
that threaten the public’s perceptions of their competence, integrity and benevolence and by emphasizing positive aspects
associated with these factors. The findings reveal that these mediated multimodal speeches not only prioritize the political
interests of the government by apportioning blame for the surveillance failures, while aggrandizing their ad hoc responses without
addressing the causes. This trust repair practice serves to frame the pandemic – initially as an external biosecurity threat and
subsequently as a natural and expectable characteristic of an infectious disease that can be handled – hinging largely on the
creation of “us-them,” which undermines equitable public health objectives and transmission mitigation in the long run.
One to many one-way control in quadripartite asymmetric Einstein-Podolsky-Rosen steering
Authors: Xiao C , Cheng X Y , Lv J W , Shen Y R , Jiang Y X , Cheng L , Yu Y B , Jin G R , Chen A X 
Published: January 2024

Abstract
Einstein–Podolsky–Rosen (EPR) steering is different from quantum entanglement because of its unique asymmetry. Multipartite asymmetric EPR steering can break through one-to-one monogamy steering and achieve one to many one-way steering. That is to say, the state of one part can steer the other rest parts simultaneously, while the other parts cannot steer this part. Here, a scheme is proposed to generate one to many one-way steering by optical parametric amplification cascaded with a sum-frequency generation process. One to many non-monogamy EPR steering, such as one to two and one to three one-way steering are demonstrated based on the criterion for asymmetric EPR steering. It is also find that different kinds of asymmetric EPR steering can be obtained by choosing different nonlinear parameters. This non-monogamous one to many quantum control has potential application in constructing quantum networks and realizing one-way quantum computing.
Quasinormal modes and isospectrality of Bardeen (Anti-) de Sitter black holes*
Authors: Zhao 赵 Ying 莹 , Liu 刘 Wentao 文韬 , Zhang 张 Chao 超 , Fang 房 Xiongjun 熊俊 , Jing 荆 Jiliang 继良 
Published: January 2024

Abstract
Black holes (BHs) exhibiting coordinate singularities but lacking essential singularities throughout the spacetime are referred to as regular black holes (RBHs). The initial formulation of RBHs was presented by Bardeen, who considered the Einstein equation coupled with a nonlinear electromagnetic field. In this study, we investigate the gravitational perturbations, including the axial and polar sectors, of the Bardeen (Anti-) de Sitter black holes. We derive the master equations with source terms for both axial and polar perturbations and subsequently compute the quasinormal modes (QNMs) through numerical methods. For the Bardeen de Sitter black hole, we employ the 6th-order WKB approach. The numerical results reveal that the isospectrality is broken in this case. Conversely, the QNM frequencies are calculated using the HH method for the Bardeen Anti-de Sitter black hole.
Projecting future forest microclimate using a land surface model
Authors: Hes Gabriel , Vanderkelen Inne , Fisher Rosie , Chave Jérôme , Ogée Jérôme , L Davin Edouard 
Published: January 2024

Abstract
The forest understory experiences temperature variations that are dampened compared to adjacent open areas, allowing the development of a forest microclimate and associated ecological conditions. It is however unclear to what extent forests will maintain this buffering effect under increasing global warming. Providing reliable projections of future forest microclimates is therefore crucial to anticipate climate change impacts on forest biodiversity, and to identify corresponding conservation strategies. Recent empirical studies suggest that the buffering of air temperature extremes in forest understory compared to open land could increase with global warming, albeit at a slower rate than macroclimate temperatures. Here, we investigate the trend of this temperature buffering effect in a high-emission global warming scenario, using the process-based Land Surface Model CLM5.1. We find biome-dependant buffering trends with strongest values in tropical forests where buffering increases for every degree of global warming by 0.1 ∘C for maximum soil temperature, and by 0.2 ∘C for maximum canopy air temperature. In boreal regions, forest microclimate exhibits a strong seasonality and the effect of global warming is more uncertain. Thus, our results highlight the importance of tropical forest canopies in particular, in maintaining hospitable conditions for understory species while increasing their climate debt under global warming. Our research also illustrates the potential and limitations of Land Surface Models to simulate forest microclimate, and calls for further collaborations between Earth system modelers and ecologists to jointly question climate and biosphere dynamics.