bluuebunny/crossref_metadata_2025_split huggingface dataset:
WITHDRAWN: Interval type-2 fuzzy moving average control charts considering explicit formula of average run length and their application
Authors: Razali Nur Hidayah Mohd , Abdullah Lazim , Ghani Ahmad Termimi Ab , Aimran Ahmad Nizam 
Published: January 2023

Abstract
Previous literature suggest that fuzzy control charts are more sensitive than conventional one hence, it provides better quality and conformance of products. However, it is known that much of the data used in manufacturing sector cannot be expressed by type-1 fuzzy numbers and some of it more suitable to be expressed in type-2 fuzzy numbers. This paper aims to develop type-2 fuzzy moving average (MA) control charts by considering interval type 2 fuzzy numbers, and the case of known and unknown standard deviations. This new control chart combines the advantages of lower bound and upper bound of interval type-2 fuzzy numbers and a modified Best Nonfuzzy Performance as defuzzification method instead of typical centroid method, which can find the upper and lower control limits. In order to verify the performance of the proposed control chart, average run length (ARL) is computed and compared to other charts which are type-1 fuzzy MA chart and conventional MA chart. Twenty samples with sample size of six of fertilizers’ production is examined to identify the defects. Based on the result of the conventional MA chart, 8 out of 20 samples are “out of control”. On the other hand, type-1 fuzzy MA chart founds 10 samples are “out of control”, whereas interval type-2 fuzzy MA chart found 15 samples are “out of control”. Thus, we can conclude that, interval type-2 fuzzy chart is more sensitive and takes lesser number of observations to identify the shift in the process. In addition, the ARL test shows that interval type-2 fuzzy MA outperforms the other control charts under the comparison of ARL. Thanks to the introduction of interval type-2 fuzzy numbers to the MA and the explicit formula of ARL where the quality of fertilizers production can be improved.
Molecular characterization of tomato (Solanum lycopersicum L.) landraces under drought stress
Authors: Makhadmeh Ibrahim , Albalasmeh Ammar , Ali Mohammed , Gamal Samar G. , Darabseh Walaa Ali , Jaradat Saied , Alqudah Ahmad M. 
Published: January 2023

Abstract
Exploring the genetic diversity among plant landraces is important for the conservation and management of plant genetic resources. In this study, a collection of forty–six tomato landraces was evaluated based on the morpho-physiological, and molecularly characterize to detect the genetic diversity. Tomato landraces seedlings were exposed to drought stress with 70% field capacity and 40% field capacity under field conditions. Drought stress had significantly negatively influenced root dry weight, root fresh weight, root growth rate, shoot fresh weight, shoot dry weight, and shoot growth rate. Moreover, proline content showed a highly significant increase in response to drought stress. The analysis of twenty morphological characters revealed a wide range of variations among tomato landraces. Landraces were screened with fourteen SSRs primers, among them six primers were used to determine the genetic diversity and genetic relationship. Based on resolving power, primer LEct004 and LEat018 were most significant as they can recognize all 46 landraces. The LEct004 SSRs marker had the highest PIC, while the Asr2 marker had the lowest PIC value. The landraces were grouped into two main clusters of which some are closely related while some are significantly distinct. Interestingly, the SSR markers were associated with genes e.g. LEat018 with ACTIN–RELATED PROTEIN gene, the LEct004 with the HOMEOBOX PROTEIN TRANSCRIPTION FACTORS gene, and Asr2 with ABA/WDS. Moreover, the AUXIN RESPONSE FACTOR8 gene was associated with the LEta014 SSR marker and the LEta020 with the THIOREDOXIN FAMILY TRP26 gene. The genetic diversity analysis and functional annotations of the Gene-Associated SSRs information obtained in this study provide useful information that can be implemented in the breeding programs.
Epidemiological features of traumatic spinal cord injury in Wuhan, China
Authors: Xu Tao , Khadour Fater , Khadour Younes , Meng Ling , Xin Cui 
Published: January 2023

Abstract
STUDY DESIGN: A retrospective hospital-based study.
OBJECTIVE: To describe the epidemiological features of traumatic spinal cord injury in Wuhan, China.
SETTING: Rehabilitation department of Wuhan's Tongji Hospital.
METHODS: We reviewed the medical records of 463 individuals with traumatic spinal cord injury (TSCI) admitted to Tongji Hospital from 2016 to 2021. Epidemiological features, such as sex, age, marital status, etiology, occupation, neurological level of injury, and the American Spinal Injury Association Impairment Scale on admission, hospitalization, and concomitant injuries were collected.
RESULTS: The mean age of patients with TSCI was 39.4 ± 14.1 years, and the male/female ratio was 3:1. The leading causes of TSCIs were traffic accidents (38.4%), followed by falls (low falls 19.2%, high falls 13.1%). The most common injury site was the cervical spinal cord, especially C4–C6, accounting for 41.3%. Of all patients, 463 patients (51.22%) had complications and other injuries. During the hospitalization period, a total of 217 patients experienced complications, with a percentage of 46.8%. urinary tract infection was the most common (15.6%), followed by Pulmonary infection (14.0%).
CONCLUSION: The results found that the proportion of males was greater, and the first two main reasons were falls and traffic accidents. Farmers and workers are the occupations most vulnerable to SCI. We need to pay more attention to the elderly's risk of falling. These findings suggested that preventive strategies should be based on the features of different types of TSCI patients. Finally, the importance of SCI rehabilitation must be highlighted.
The Social Dimension of Quality of Life Following Spinal Cord Injury or Disease: An International ICF-linking Study.
Authors: Wind Aline J Hakbijl-van der , Rohn Edward , Tate Denise , Leeuwen Christel van , Ferdiana Astrid , Stolwijk-Swüste Janneke , Charlifue Susan , Gr Julia MD , New Peter , Post Marcel 
Published: January 2023

Abstract
Study design: International Classification of Functioning, Disability and Health (ICF) linking study.
Objective: The International Spinal Cord Injury Quality of Life (QoL) Basic Data Set (QoL-BDS) consists of three items on satisfaction with life as a whole, physical health and psychological health. To examine the need for a fourth item on satisfaction with social life, the aim of this study was to explore aspects of social life relevant to QoL.
Setting: four specialized outpatient clinics in SCI/D rehabilitation.
Methods: Secondary analysis of data from 39 cognitive interviews with individuals with spinal cord injury or disease (SCI/D) for at least one year. Participants were asked to define their concept of QoL, their satisfaction with life as a whole, physical health and psychological health, and to comment on other issues relevant to their QoL. Coded text fragments were linked to the ICF using established linking rules. Fragments were considered to refer to social life if their content could be linked to ICF chapters d6-d9.
Results: For responses to the items the rate of text referring to social life was 35.8%, 24.9%, 6.0% and 34.9% respectively. The most frequent ICF categories were d760 Family relationships, d770 Intimate relationships and d920 Recreation and leisure. Most frequent responded social topics to the ‘other issues’ item were d770 Intimate relationships, d760 Formal relationships, and d870 Economic self-sufficiency.
Conclusion: Social life was relevant to QoL of people with SCI/D. Adding an satisfaction with social life item to the QoL-BDS would make this instrument a more comprehensive measure.
Temperature and Frequency Dependent Nonlinearities of an Integrated Hydro-Pneumatic System with Mixed Gas-Oil Emulsion Flow
Authors: Yin Yuming , Rakheja Subhash , Fu Zhijun , Wang Zhenting , Wang Yuan , Guo Yaohua 
Published: January 2023

Abstract
Hydro-pneumatic suspension (HPS) systems is increasingly being implemented on commercial vehicles, mainly attributing to the integration of adaptable nonlinear pneumatic-stiffness and hydraulic-damping properties. The integrated HPS design with shared gas-oil chamber, however, leads to gas-oil emulsion flow within the suspension chambers which intricately affects internal and external properties of the HPS, especially under variations in temperature and excitation frequency. This study experimentally and analytically investigated the temperature- and frequency-dependent properties of the hydro-pneumatic suspension with the gas-oil emulsion. The laboratory experiments are performed under three different near-constant temperatures (30, 40 and 50°C) in the 0.5–8 Hz frequency range. An analytical model of the HPS is formulated considering the effects of temperature on internal fluid properties, gas-oil emulsion flows between coupled chambers, dynamic seal friction, and polytropic change in the gas state. The internal parameters, including the gas volume fraction and discharge coefficient of the emulsion and the dynamic friction components, as well as the external stiffness and damping characteristics are identified. The relationships between these properties and the system temperature, velocity and excitation frequency are further investigated. The simulated responses obtained under different excitations showed reasonably good agreements with the experimental results of the HPS. The results suggested that increased temperature yielded greater equivalent stiffness and comparable damping properties of the system. The gas volume fraction, discharge coefficient and magnitude of seal friction generally tended to increase with increasing temperature. Increased excitation frequency leaded to greater hysteresis in hydraulic damping force and seal friction, and reduced seal friction magnitude and Stribeck effect.
Cascaded compressed-sensing single-pixel camera for high-dimensional optical imaging
Authors: Park Jongchan , Gao Liang 
Published: January 2023

Abstract
Single-pixel detectors are popular devices in optical sciences because of their fast temporal response, high sensitivity, and low cost. However, when being used for imaging, they face a fundamental challenge in acquiring high-dimensional information of an optical field because they are essentially zero-dimensional sensors and measure only the light intensity. To address this problem, we developed a cascaded compressed-sensing single-pixel camera, which decomposes the measurement into multiple stages, sequentially reducing the dimensionality of the data from a high-dimensional space to zero dimension. This measurement scheme allows us to exploit the compressibility of a natural scene in multiple domains, leading to highly efficient data acquisition. We demonstrated our method in several demanding applications, including enabling tunable single-pixel full-waveform hyperspectral light detection and ranging (LIDAR) for the first time.
Urolithiasis secondary to Hem-o-lok partial migration into renal calyx as a long-term complication of robotic partial nephrectomy: a case report and literature review
Authors: Dibitetto Francesco , Russo Pierluigi , Marino Filippo , Ragonese Mauro , Nigro Domenico , Foschi Nazario 
Published: January 2023

Abstract
Background: Hem-o-lok clips (HOLCs) are a useful tool in mini-invasive surgery, especially for renal surgery. However, in rare cases they could migrate into the collecting system and be calculogenic.
Case presentation: we present a case of a 53 years old man with an incidental CT finding of a left renal stone increasing its size in the last 2 years. He had a medical history of ipsilateral robotic partial nephrectomy at another institution 8 years before. The stone was located in the upper calyx. He underwent a flexible ureteroscopy. After an initial fragmentation a Hem-o-lok was reported, partially wedged into the renal parenchyma. After the removal of the HOLC with a basket it was observed a small urinary leak, managed with a JJ stent placement. In the postoperative period the patient had fever managed with antibiotics and was discharged in the 4th postoperative day without problems.
Conclusions: HOLC migration into the collecting system is a rare complication following robotic and laparoscopic renal surgery. HOLC could act as a nidus for stone formation. Avoiding too much tension during renal suture using HOLC could reduce the possibility of migration. Simple knotting in particular conditions is a useful option. However, this kind of stones can be managed endoscopically without particular complaints, minding the possibility that HOLC could be partially wedged into renal parenchyma leading to urinary leak.
Seed nanopriming with zinc oxide improves wheat growth and photosynthetic performance in wheat under drought stress
Authors: Abbas Syed Farhat , Bukhari Muhammad Adnan , Raza Muhammad Aown Sammar , Abbasi Ghulam Hassan , Ahmad Zahoor 
Published: January 2023

Abstract
Wheat is the most important cereal crop in the world. On the eve of climate and water scarcity, the use of different approaches such as the use of nutrients and organic or inorganic substances to increase drought tolerance and improve the yield in a wheat crop is necessary. The present study was conducted to cope with the problem of water deficit in wheat through ZnO nanoparticles (NPs). Wheat seeds (Ujala-16 and Zincol-16) were primed with different doses of ZnO NPs (40. 80, 120, and 160 ppm) under water deficit stress (No-stress and withholding water stress). Untreated seeds were also used as a control treatment. Results showed that drought stress decreased the shoot fresh (4.66 to 5.72 g) and dry weight (1.91g to 2.35g), shoot length (24.36 to 29.89 cm), root fresh (0.24 to 0.29 g) and dry weight (0.010 g) in both varieties of wheat. However, seed priming with ZnO at 80 and 120 ppm increased the fresh (8.07 to 10.09 g in Ujala-16 and 8.99 to 10.66 g in Zincole-16) and dry weight (3.31 to 4.14 g in Ujala-16 and 3.69 to 4.38 g in Zincole-16) of wheat plants. However, the maximum improvement in dry weight was observed under well-watered conditions (4.29 to 4.96 g in Ujala-16 and 4.62 to 5.45 g in Zincole-16). Similarly, ZnO NPs increased the chlorophyll a (1.73 mg/g FW in Ujala-16 and 1.75 mg/g FW in Zincole-16) b (0.70 mg/g FW in Ujala-16 and 0.71 mg/g FW in Zincole-16) and total chlorophyll content (2.43 mg/g FW in Ujala-16 and 2.46 mg/g FW in Zincole-16) in wheat by improving the activity of antioxidant and proline content of wheat. Similarly, plant nutrients such as Ca, Mg, Fe, N, P, K, and Zn contents increased in wheat plants after priming the seeds with ZnO NPs. Zincol-16 was responsive as compared to Ujala-16 however, ZnO NPs increase the growth and development of both wheat varieties under well-watered (control/No-stress) and withholding water stress. Thus, seed priming with ZnO NPs has the potential to alleviate the adverse effects of water deficits.
Assessing the impact of heat stress on growth faltering in the first 1000 days of life in rural Gambia
Authors: Bonell Ana , Vicedo-Cabrera Ana , Murray Kris , Moirano Giovenale , Sonko Bakary , Moore Sophie , Haines Andy , Prentice Andrew 
Published: January 2023

Abstract
The intersecting crises of climate change, crop failure, food security and under-nutrition are disproportionately impacting children living in the Global South. Understanding the relationship between heat stress exposure and child growth is needed considering current and projected increasing temperatures. We used multilevel, multivariate linear regression models of 60-day heat stress exposure on child growth. Heat stress was defined by Universal Thermal Climate Index (UTCI), and outcomes as: prenatal weight-for-age (WAZ); postnatally to 2 years weight-for-age (WAZ), weight-for-height (WHZ) and height-for-age (HAZ) z-scores, in The Gambia, West Africa. Postnatal WAZ and WHZ reduced with increasing heat stress exposure. Mean UTCI exposure of 30°C versus 20°C was associated with 0.34 (95%CI -0.49;-0.20) reduction in WHZ between 0–2 years. In contrast, HAZ increased with increasing UTCI, to 29°C, beyond which HAZ plateaued/decreased. Our results suggest that rising global temperatures may impact child growth in vulnerable areas with long-term implications for morbidity and mortality.
Rogue serpentinite-breakdown waves: a source mechanism for major subduction earthquakes?
Authors: HU Manman , Sun Qingpei , Regenauer-Lieb Klaus 
Published: January 2023

Abstract
Episodic tremor and slip (ETS) in subduction megathrusts can accommodate plate motion in a silent manner without major damage. Yet, sometimes fast slip events seem to occur just prior to a large earthquake such as observed in New Zealand. Here, we show that the ETS and earthquake mechanisms can trigger each other in a two-way coupled manner due to the entanglement of fluid reactions and solid deformation within the slip zone. We propose that large earthquakes form as slab-wide network forming fluid-release events synchronising through nonlinear ultra-focusing excitation waves of the rogue-wave type. The generality of this approach renders it applicable to the nominally aseismic Cascadia subduction zone where the largest magnitude 9 event occurred 315 years ago.
Machine Learning-Aided Non-Functionalized Graphene Chemitransistors for Highly Selective Chemisensing in Liquid Media
Authors: Pannone Andrew , Robbins Jackson , Wali Akshay , Sen Dipanjan , Felins Michael , Das Saptarshi 
Published: January 2023

Abstract
The development of highly selective and miniaturized chemisensors for liquid media can enable newer discoveries and empower a wide range of disciplines from biology to human health, marine ecology to climate change, and industrial process monitoring to food safety. While the two-terminal chemiresistor architecture has been remarkably successful in this regard, they rely on appropriate surface functionalization to achieve selectivity for a specific target analyte. Furthermore, sensor drift and sensor-to-sensor variation in a multiplexed chemisensors array can severely impact their reliability and obscure the response of individual sensors to the target analytes. In this article, we overcome these challenges by introducing a new sensing paradigm that integrates an array of three-terminal chemitransistors based on monolayer graphene with an ensemble of machine learning (ML) algorithms. The extraordinary transport properties of graphene combined with its electrochemically inert basal plane allow a wide range of chemical species to electrostatically control the channel conductivity in a liquid medium through voltage gating. This in turn expands the parameter space for the sensing elements which enables the integration of various unsupervised and supervised ML algorithms to eliminate the need for surface functionalization, eradicate the need for sensor calibration, and minimize the impact of sensor-to-sensor variation. Our ML-aided, non-functionalized, and reusable graphene chemitransistors were found to be highly selective to de-ionized (DI) water, multiple chloride salts including NaCl, LiCl, CaCl2, and MgCl2 that are relevant to biosensing, several weak acids including acetic, propionic, and citric acid that are used in the food industry, as well as more complex solutions and processes such as decaying juices extracted from different fruits (grape, orange, watermelon, and pineapple).
Mathematical Model and Artificial Intelligence for Diagnosis of Alzheimer's Disease
Authors: Davodabadi Afsaneh , Daneshian Behrooz , Saati Saber , Razavyan Shabnam 
Published: January 2023

Abstract
Degeneration of the neurological system linked to cognitive deficits, daily living exercise clutters, and behavioral disturbing impacts may define Alzheimer's disease. Ad research conducted later in life focuses on describing ways for early detection of dementia, a kind of mental disorder. To tailor our care to each patient, we utilized visual cues to determine how they were feeling. We did this by outlining two approaches to diagnosing a person's mental health. Support vector machine is the first technique (SVM). Image characteristics are extracted using a fractal model for classification in this method. With this technique, the histogram of a picture is modeled after a Gaussian distribution. Classification was performed with several SVM kernels, and the outcomes were compared. Step two proposes using a deep convolutional neural network (DCNN) architecture to identify Alzheimer's-related mental disorders. According to the findings, the SVM approach accurately recognized over 93% of the photos tested. The DCNN approach was one hundred percent accurate during model training, whereas the SVM approach achieved just 93 percent accuracy. In contrast to SVM's accuracy of 89.3%, the DCNN model test's findings were accurate 98.8% of the time. Based on the findings reported here, the proposed DCNN architecture may be used for diagnostic purposes involving the patient's mental state.
So Long, and Thanks for All the Antagomirs: Space Radiation Damage Rescued by Inhibition of Key Spaceflight Associated miRNAs
Authors: McDonald J. Tyson , Farmerie Lily , Johnson Meghan , Park Jiwoon , Kim JangKeun , Overbey Eliah , Haltom Jeffrey , Singh Urminder , Wurtele Eve Syrkin , Enguita Francisco , Zaksas Victoria , Guarnieri Joseph , Topper Michael , Wallace Douglas , Baylin Stephen , Meller Robert , Muratani Masafumi , Porterfield D. Marshall , Kaufman Brett , Mori Marcelo , Mason Christopher , Grabham Peter , Beheshti Afshin 
Published: January 2023

Abstract

From our previous work we have shown a key miRNA signature that is associated with spaceflight can be used as a biomarker and countermeasure to mitigate the damage caused by space radiation. Here, we have further expanded on this work to determine key biological factors that are being rescued by the countermeasure treatment. We performed RNA-sequencing and transcriptomic analysis on our established 3D microvessel cell cultures exposed to simulated deep space radiation (0.5 Gy of Galactic Cosmic Radiation) with and without the antagonists to three microRNAs (i.e. antagomirs). Significant reduction of inflammation and DNA DSBs activity is observed, along with key mitochondria functions being rescued after antagomir treatment. Lastly, we compared the key genes and pathways involved with the antagomirs with astronaut data from Inspiration4 and JAXA missions to demonstrate that the key genes and pathways associated with these experiments occur in humans and this countermeasure strategy can potentially be utilized in astronauts to mitigate the space radiation response.
Contactless, autonomous robotic alignment of optical coherence tomography for in vivo evaluation of diseased retinas
Authors: McNabb Ryan , Ortiz Pablo , Roh Kyung-Min , Song Ailin , Draelos Mark , Schuman Stefanie , Jaffe Glenn , Lad Eleonora , Izatt Joseph , Kuo Anthony 
Published: January 2023

Abstract
During the COVID-19 pandemic, an emphasis was placed on contactless, physical distancing and improved telehealth; contrariwise, standard-of-care ophthalmic imaging of patients required present, trained personnel. Here, we introduce contactless, autonomous robotic alignment of optical coherence tomography (RAOCT) for in vivo imaging of retinal disease and compare measured retinal thickness and diagnostic readability to technician operated clinical OCT. In a powered study, we found no statistically significant difference in retinal thickness in both healthy and diseased retinas (p > 0.7) or across a variety of demographics (gender, race, and age) between RAOCT and clinical OCT. In a secondary study, a retina specialist labeled a given volume as normal/abnormal. Compared to the clinical diagnostic label, sensitivity/specificity for RAOCT were equal or improved over clinical OCT. Contactless, autonomous RAOCT, that improves upon current clinical OCT, could play a role in both ophthalmic care and non-ophthalmic settings that would benefit from improved eye care.