Back Support Research Articles

Research on hot deformation behavior of Cu-Ti alloy based on machine learning algorithms and microalloying

High strength and high elasticity copper alloys have good application prospects due to their excellent mechanical properties. The deformation and heat treatment in its preparation process are important steps to ensure the service performance. In this work, Cu-Ti based alloys were employed and hot compression experiments were conducted at 500–800℃ under four different strain rates. Their constitutive equations and thermal processing maps were constructed. The influence of microalloying elements on activation energy was also analyzed. The microstructure evolution and recrystallization behavior under hot deformation conditions were studied based on the results of TEM. At the same time, Arrhenius, back propagation neural network (BPNN) and support vector machine (SVM) algorithms were used to predict the flow stress of the alloy. The results indicate that the relationship between flow stress and the input factors (strain rate, temperature and deformation) can be well predicted using the support vector machine algorithm. Microalloying can increase the activation energy of copper alloys, and the sensitivity of activation energy to temperature changes is related to the interaction between precipitates and dislocations.

Development of Quasi-Passive Back-Support Exoskeleton with Compact Variable Gravity Compensation Module and Bio-Inspired Hip Joint Mechanism.

The back support exoskeletons have garnered significant attention to alleviate musculoskeletal injuries, prevalent in industrial settings. In this paper, we propose AeBS, a quasi-passive back-support exoskeleton developed to provide variable assistive torque across the entire range of hip joint motion, for tasks with frequent load changes. AeBS can adjust the assistive torque levels while minimizing energy for the torque variation without constraining the range of motion of the hip joint. To match the requisite assistance levels for back support, a compact variable gravity compensation module with reinforced elastic elements is applied to AeBS. Additionally, we devised a bio-inspired hip joint mechanism that mimics the configuration of the human hip axis to ensure the free body motion of the wearer, significantly affecting assistive torque transmission and wearing comfort. Benchtop testing showed that AeBS has a variable assistive torque range of 5.81 Nm (ranging from 1.23 to 7.04 Nm) across a targeted hip flexion range of 135°. Furthermore, a questionnaire survey revealed that the bio-inspired hip joint mechanism effectively facilitates the transmission of the intended assistive torque while enhancing wearer comfort.

Dynamic and Static Assistive Strategies for a Tailored Occupational Back-Support Exoskeleton: Assessment on Real Tasks Carried Out by Railway Workers.

This study on occupational back-support exoskeletons performs a laboratory evaluation of realistic tasks with expert workers from the railway sector. Workers performed both a static task and a dynamic task, each involving manual material handling (MMH) and manipulating loads of 20 kg, in three conditions: without an exoskeleton, with a commercially available passive exoskeleton (Laevo v2.56), and with the StreamEXO, an active back-support exoskeleton developed by our institute. Two control strategies were defined, one for dynamic tasks and one for static tasks, with the latter determining the upper body's gravity compensation through the Model-based Gravity Compensation (MB-Grav) approach. This work presents a comparative assessment of the performance of active back support exoskeletons versus passive exoskeletons when trialled in relevant and realistic tasks. After a lab characterization of the MB-Grav strategy, the experimental assessment compared two back-support exoskeletons, one active and one passive. The results showed that while both devices were able to reduce back muscle activation, the benefits of the active device were triple those of the passive system regarding back muscle activation (26% and 33% against 9% and 11%, respectively), while the passive exoskeleton hindered trunk mobility more than the active mechanism.

Arm Back Support Suit (Abs-Suit) for Parcel Delivery With a Passive Load Redistribution Mechanism

Arm Back Support Suit (Abs-Suit) for Parcel Delivery With a Passive Load Redistribution Mechanism

Analysis of the Influence of Temperature Gradient on the Measurement Accuracy of Axial Force in Balance

As a measuring element in wind tunnel test, it is important to ensure the measurement accuracy of strain balance.However, in the continuous wind tunnel, due to the long running time of the wind tunnel and the continuous transformation of Mach number, the temperature distribution of the balance body will be uneven, resulting in temperature gradient.This temperature gradient has an obvious influence on the measurement accuracy of the axial force of the balance.In order to explore the influence of temperature gradient on the axial force and strain output of the balance in the continuous wind tunnel, three temperature loading conditions were summarized according to the actual working conditions, and the thermal-solid coupling analysis of the 80A balance was carried out by ANSYS Workbench.The results show that the higher the temperature of the base point of the temperature gradient is, the faster the temperature input is, the more uneven the temperature distribution of the balance is, and the larger the temperature gradient is, the larger the axial force and strain output is. Considering the heat conduction of the back support rod, the temperature distribution of the balance body is relatively uniform, the temperature gradient is small, and the output of axial force and strain is small.

A Survey of Patient Experience During Molecular Breast Imaging.

Molecular breast imaging (MBI) is one of several options available to patients seeking supplemental screening due to mammographically dense breasts. Patient experience during MBI may influence willingness to undergo the test but has yet to be formally assessed. We aimed to assess patient comfort level during MBI, to compare MBI comfort with mammography comfort, to identify factors associated with MBI discomfort, and to evaluate patients' willingness to return for future MBI. Methods: A 10-question survey was sent by e-mail to patients undergoing MBI between August and December 2022 to obtain quantitative assessments and qualitative opinions about MBI. Results: Of 561 invited patients, 209 (37%) completed the survey and provided study consent. Their average age was 60.1 y (range, 40-81 y). Of the 209 responders, 202 (97%) were presenting for screening MBI, 195 (94%) had dense breasts, and 46 (22%) had a personal history of breast cancer. The average rating of MBI comfort was 2.9 (SD, 1.5; median, 3.0) on a 7-point scale (1 indicating extremely comfortable and 7 indicating extremely uncomfortable). The rating distribution was as follows: 140 (67%) comfortable (rating, 1-3); 24 (12%) neither comfortable nor uncomfortable (rating, 4); and 45 (22%) uncomfortable (rating, 5 or 6). No responders gave a 7 rating. The most frequently mentioned sources of discomfort included breast compression (n = 16), back or neck discomfort (n = 14), and maintaining position during the examination (n = 14). MBI comfort was associated with responder age (74% ≥55 y old were comfortable, versus 53% <55 y old [P = 0.003]) and history of MBI (71% with prior MBI were comfortable, versus 61% having a first MBI [P = 0.006]). Of 208 responders with a prior mammogram, 148 (71%) said MBI is more comfortable than mammography (a significant majority [P < 0.001]). Of 202 responders to the question of whether they were willing to return for a future MBI, 196 (97%) were willing. A notable factor in positive patient experience was interaction with the MBI nuclear medicine technologist. Conclusion: Most responders thought MBI to be a comfortable examination and more comfortable than mammography. Patient experience during MBI may be improved by ensuring back support and soliciting patient feedback at the time of positioning and throughout the examination. Methods under study to reduce imaging time may be most important for improving patient experience.

Rehabilitation Evaluation of Upper Limb Motor Function for Stroke Patients Based on Belief Rule Base.

In the process of rehabilitation treatment for stroke patients, rehabilitation evaluation is a significant part in rehabilitation medicine. Researchers intellectualized the evaluation of rehabilitation evaluation methods and proposed quantitative evaluation methods based on evaluation scales, without the clinical background of physiatrist. However, in clinical practice, the experience of physiatrist plays an important role in the rehabilitation evaluation of patients. Therefore, this paper designs a 5 degrees of freedom (DoFs) upper limb (UL) rehabilitation robot and proposes a rehabilitation evaluation model based on Belief Rule Base (BRB) which can add the expert knowledge of physiatrist to the rehabilitation evaluation. The motion data of stroke patients during active training are collected by the rehabilitation robot and signal collection system, and then the upper limb motor function of the patients is evaluated by the rehabilitation evaluation model. To verify the accuracy of the proposed method, Back Propagation Neural Network (BPNN) and Support Vector Machines (SVM) are used to evaluate. Comparative analysis shows that the BRB model has high accuracy and effectiveness among the three evaluation models. The results show that the rehabilitation evaluation model of stroke patients based on BRB could help physiatrists to evaluate the UL motor function of patients and master the rehabilitation status of stroke patients.

The effect of advanced age and stool modification on reaching distance in sitting.

[Purpose] Reaching is an important functional ability. We investigated the effect of advanced age and stool modification on sitting reach distance. [Participants and Methods] Twenty-four participants (twelve older adults 70 ± 4 years and twelve young adults 29 ± 4 years) reached forward and laterally while sitting on an adjustable stool with 0°, 10° forward, 10° backward, 10° right or 10° left inclination of the seat, with and without footrest and front, back or side leg support. [Results] The outcome of this exploratory study revealed that young adults reached farther than older adults across all the directions of reach and seat conditions. While the inclined seat was utilized, both young and older adults reached farthest in the forward direction. Additional leg supports allowed to reach further; however, older adults were not able to reach in the forward direction as far as young adults. When reaching in the lateral direction, leg support had minimal effect on the reach distance. [Conclusion] Age affects the sitting functional reach ability. Future research should focus on investigating the efficiency of interventions to enhance performance of functional tasks in sitting older adults.

Knowledge of Computer Ergonomics among Third and Final year Dental Students: A Cross-sectional Survey from Nagpur, India

Introduction: During the Coronavirus Disease-2019 (COVID-19) pandemic, the world has experienced many changes, including increased computer and internet usage. Spending more time on computers can lead to the development of various postural problems, resulting in pain and inefficiency in the workplace. Aim: To assess the knowledge of computer ergonomics among third and final year Bachelor of Dental Surgery (BDS) students at VSPM’s dental college in Nagpur, Maharashtra, India. Materials and Methods: This cross-sectional, questionnairebased study was conducted on third and final year students between November 2020 and February 2021 in the Department of Oral Medicine and Radiology at VSPMDCRC, Nagpur, Maharashtra, India. Ethical clearance was obtained from the Institutional Ethical Committee (IEC/VSPMDCRC/15/2020). A self-administered questionnaire, formulated and validated by independent subject experts, was used. A total of 216 students were included in the study over a two-month period. Informed consent was obtained from the students. The questionnaire consisted of 34 questions on computer usage and knowledge of ergonomics, and the responses were recorded. Descriptive statistics were performed using Statistical Packages for Social Sciences (SPSS) version 20.0 for Windows. Quantitative data were expressed as mean and standard deviation. The association between categorical variables was checked using the Chi-square test, with a significance level set at 5%. Results: The mean age of the students was 22.20 years total of 216 students, including 158 females and 58 males, were included in the study. The results showed that 20.37% of third year students (44/96) and 31.48% of final year students (68/96) were aware of the term "ergonomics". The majority of students were unaware of the principles of ergonomics. However, 169 (78.2%) students knew the correct position of the head and neck while using a computer. Additionally, 164 (75%) students were aware of the need for lower back support, 167 (77.3%) were aware of the placement of input devices, and 174 (80.6%) were aware of the alignment of devices. Moreover, 168 (77.8%) subject knew that the monitor and working surface should be glare-free, and 120 (55.6%) were aware that a sloped desk surface is required for reading or writing. Furthermore, 157 (72.7%) subjects used a headset or speakerphone while writing, typing, or talking on the phone, and 164 (75.9%) subjects took regular eye breaks. Conclusion: The present study highlights a lack of practical knowledge and application of ergonomics among the participants. There is a need to prioritise creating awareness and developing healthy ergonomics practices among dental students through Continuing Dental Education programs (CDE). The authors also recommend that the curriculum for healthcare courses should incorporate healthy ergonomics practices as a part of the curriculum.

Work-related musculoskeletal disorders among traditional pottery makers at selected places in Bengaluru – A cross-sectional study

Abstract: CONTEXT: Pottery is defined as clay that has been fashioned into the desired shape and then dried to reduce its water content before being fried or baked to fix its form. The artisans living in traditional societies are normally influenced by their environment as well as by their myths, legends, rituals, ceremonies, festivals, social organization, and cultural norms which are reflected in their creations. The poor environmental conditions and the lack of protective equipment in these pottery workshops are key contributing factors to the development of these occupational diseases. Most pottery industries are small- to medium-scale industries and have longer and irregular working hours, a higher percentage of elderly employees, limited opportunities for health education or health inspection, and insufficient health promotion facilities compared with large companies. These factors are considered to play an important part in the development of occupational diseases and some nonspecific diseases such as psychosomatic, cardiovascular, and locomotor diseases among pottery workers. Traditional pottery making has its unique method of potter-work where it demands prolonged squatting without back support for hours which can develop musculoskeletal disorders (MSDs). AIMS: The study aimed to estimate the prevalence of work-related musculoskeletal disorders (WRMD) among traditional pottery makers at selected places in Bengaluru. SETTINGS AND DESIGN: A cross-sectional study was conducted in two rural communities of Bengaluru. One hundred and ten traditional pottery makers were randomly selected. MATERIALS AND METHODS: Subjects were screened for work-related musculoskeletal disorders (WRMD) using the Nordic Musculoskeletal Questionnaire, following which the pottery makers who reported low back pain (LBP) were screened for the severity of disability using the Modified Oswestry LBP Disability Questionnaire (M-OSW). The results obtained were statistically analyzed using SPSS 25.0. RESULTS: The result showed the highest prevalence of MSDs in the lower back, the findings of this study confirmed the work-related stress on traditional pottery makers. In the present study, the highest prevalence of musculoskeletal disorder was found in the lower back, of which had trouble in the last 12 months, 56.36% were having trouble during the last 7 days, and 19.09% were prevented from doing normal activities during the last 12 months. The prevalence of MSDs during the last 12 months revealed that the maximum of them, i.e., 24.54%, were having pain in the lower back. The present study also found MSDs prevalent in the hip joint and knee joint due to the occupational need to complete the work on prolonged squatting. CONCLUSIONS: This study concluded that prolonged work exposure and awkward work postural demand increase the incidence of MSD among traditional pottery makers in Bengaluru.

Factors Overlooked in Blood Pressure Measurement: The Effect of Back, Feet and Arm Support

In the guidelines, it is recommended that the patient's back should be supported, that the lower part of the arm should be supported at the heart level, and the feet should be kept flat on the floor. However, the effects of errors stemming from ignoring these recommendations are unknown because the number of studies conducted on this issue is limited. In this study, the authors aimed to investigate the effect of arm, back and feet support on blood pressure values during blood pressure measurement in healthy individuals. &#x0D; In the study, 111 individuals were included. Their mean age was 21.95±1.57 years. Their systolic and diastolic blood pressures were measured using four measurement procedures, three of which were erroneous measurements (feet without support, back without support, and arm without support) and one of which was the standard procedure recommended by the guidelines. Procedures were randomized and the participants' blood pressures were measured three times for each procedure. &#x0D; While the mean systolic values determined with the measurements performed without feet support and back support were higher than were those determined with the standard measurements (t=-4.872, p

Increased Frequency of Low Back Pain in Recent Times: Does the Answer Lie in COVID-19?

Background The COVID-19 pandemic has impacted many people's activities of daily living and health. It has also created economic burdens and caused mental turmoil across the world. Musculoskeletal symptoms, especially low back pain, have been observed in subjects of post-COVID-19 infection and post-vaccination. Aim In this study, we aimed to investigate the relationship between low back pain and COVID-19 infection and vaccination, as well as associated factors and characteristics. Methods We conducted a questionnaire-based cross-sectional observational study at All India Institute of Medical Science (AIIMS) Bibinagar between September 2021 and March 2022. We collected data from individuals through physical and Google Forms (Google, Mountain View, California). Results We included a total of 535 individuals in the study: 274 (51.2%) were previously positive for COVID-19 infection (group A), and 261 (48.8%) were vaccinated against COVID-19 without a history of COVID-19 infection (group B). Each group was divided into two categories based on whether they had low back pain before COVID-19 infection or vaccination. In group A, 90.1% of individuals experienced an aggravation of low back pain after COVID-19 infection, which was found to be significant (p<0.001). In group B, there was an insignificant increase in low back pain following COVID-19 vaccination (p=0.275). The study also revealed a significant association between comorbidities and low back pain in both groups (p<0.001). Additionally, several differences were observed between the two groups, including duration (p<0.001), severity (p=0.012), and intensity (p<0.001) of low back pain, usage of a back support or brace (p=0.043), and intake of vitamin D (p=0.002). Conclusion Low back pain is an ignored feature of one of the musculoskeletal symptoms of COVID-19 and was aggravated by COVID-19 infection in our patients compared to those who received the vaccination. The findings of this study have implications for raising awareness, improving management and rehabilitation, and guiding future research in this area.

Analyzing complaints of arm, neck, and shoulder pain among academicians in Malaysia: a cross-sectional study on prevalence and contributing factors

OBJECTIVES: Complaints of arm, neck, and shoulder (CANS) have been recognized as an important cause of work disability. Therefore, it is essential to identify those health risk factors for the development of CANS before they escalate into a disabling musculoskeletal condition. This study aims to ascertain the association between individual, physical, and psychosocial risk factors and the occurrence of CANS among academics in Malaysia. METHODS: A cross-sectional study design was adopted, enrolling 296 academic staff working at a private university in Malaysia using a convenient sampling approach. A content-validated questionnaire was distributed among selected academic staff to gather their feedback on the prevalence and contributing factors of CANS, and the survey was conducted for a period of six months. The chi-square test was used to analyze the association between risk factors and CANS, and multiple logistic regression was used to predict the risk factors of CANS. This study links all the health risk factors to CANS in Malaysian academicians. RESULTS: Of the academic staff who participated in this study, 63.5% reported an annual prevalence of CANS. Physical risk factors, including work experience, adopting a static head-down posture, time spent per day in teaching, and the number of hours spent in front of a computer, are associated with CANS (p&lt;0.05). However, the utility of back support (p=0.878) and footrests (p=0.078) does not show any association with the occurrence of CANS (p&gt;0.05). Besides job demand, other psychosocial factors do not show any significant association with CANS. DISCUSSION: The study found that 63.5% of academic staff suffer from arm, shoulder, and neck pain, which is linked to physical risk factors such as work experience, static posture, teaching time and computer use. Back support and footrests had no significant influence on the complaints. Addressing physical risk factors is key to reducing these conditions among academic staff.

Laptop use and muscle activity in adult females: Ground sitting has lower muscular demand than using a chair.

With progressing technology in the portable computing field, laptops are now integral for work, home and social settings. Different working postures adopted by laptop users impose different loads on the relevant muscles, which can be associated with musculoskeletal discomfort in the various body regions. Some Arabic and Asian cultures adopted postures are not well investigated, particularly for the 20-30 years age-group. This study compared muscle activity in the cervical spine, arm, and wrist among different laptop workstation setups. In this cross-sectional study, 23 healthy female university students (age = 24.2±2.28 years, range 20-26 years) performed a standardized 10 minute typing task in four different laptop workstation setups: DESK, SOFA, GROUND sitting with back support, and laptop table (LAP-Tab). Differences between electromyography (EMG) muscle activity recorded in the trapezius (TR), cervical extensors (CE), deltoid (DEL), and wrist extensors (WE) were determined using one-way repeated ANOVA measures with a post-hoc Bonferroni test. Significantly higher muscle activity was observed respectively in the workstations of DESK > LAP-Tab > SOFA > GROUND. Significant differences were found between WE muscle activity and the three other muscle groups (p < 0.001). There was a significant interaction between workstations and muscle activity (F(9,264) = 3.81, p < 0.001, = 0.11), where the WE and DEL muscles showed respectively higher and lower muscle activity in all setups. Muscles showed variable activity in different workstations such that the GROUND workstation provided the minimum load, while the DESK workstation showed the maximum load on the measured muscle groups. These findings require further investigation in different cultural and gender specific groups.

Neck and shoulder strains under various head flexing positions while standing and sitting with and without back support for male and female smartphone users

This study recruited 30 young participants (15 men and 15 women) to examine the smartphone usage patterns in three postures (standing, supported sitting, and unsupported sitting) and at five head angle (HA) positions (0°-40°). Cervical erector spinae (CES) and upper trapezius (UTZ) muscle activity, neck flexion (NF), gaze angle (GA), viewing distance (VD), and discomfort scores were collected. Results showed that HA and posture almost affected all responses, while CES muscle activity, NF, and VD differed between sexes. Strain in the neck and shoulder region increased with HA increase. Particularly, when the HA exceeded 20°, the discomfort scores considerably increased. Unsupported sitting should be avoided during smartphone use because of relatively poor responses in all variables. However, both standing and supported sitting have their respective benefits. Sex-related differences were typically observed in the standing position, with women tending to have lower NF but higher CES muscle activity compared with men. Practitioner summary: Although smartphones have become daily necessities, the overall quantitative neck and shoulder strain of using smartphones in different postures is rarely evaluated. We suggest that maintaining the HA within 20° is recommended because of relatively low load on the neck and shoulders. An unsupported sitting should be avoided during smartphone use.

Effect of shape of back support adjustment on shear force applied to buttocks when tilt-in-space and reclining functions are combined in wheelchairs

Purpose This study aimed to investigate the effect of the shape of the back support adjustment on the shear force applied to the buttocks when tilt-in-space and reclining functions are combined in wheelchairs. Materials and Methods Fourteen healthy adult men were included in the study. The force plate was used to measure the parallel force as shear force. The measurement posture, leaning against the back support of an experimental chair, was a comfortable sitting posture. The tilt-in-space angle was set to 15°. The back support was inclined at increasing angles, starting from the upright position (IUP), proceeding to a fully reclined position (FRP), and returning to the upright position (RUP). The experimental conditions were as follows: adjusting the back-support shape (aBS) and non-adjusting the back support shape (non-aBS). Results Positive values indicate a parallel force applied to the buttocks posteriorly. The average values in the aBS condition were 3.4 ± 2.3, 13.6 ± 2.2, and −7.1 ± 2.4% body weight in the IUP, FRP, and RUP, respectively. The average values in the non-aBS condition were 3.8 ± 2.5, 11.4 ± 2.1, and −6.2 ± 3.1% body weight in the IUP, FRP, and RUP, respectively. There were significant differences between the two conditions in FRP (p < 0.01). Conclusion These findings suggest that the shape of the back support adjustment function increased the shear force applied to the buttocks posteriorly when the back support was inclined backwards using both the tilt-in-space and reclining functions.

Three-dimensional finite element modeling of glenoid bone loss and baseplate fixation in reverse total shoulder arthroplasty

BackgroundPosterior glenoid bone loss is frequently observed in patients with osteoarthritis undergoing reverse total shoulder arthroplasty. Glenoid bone loss can reduce the baseplate back support area and the number of screws for fixation. The purpose of this study is to determine how initial baseplate fixation is affected by biomechanical factors introduced by glenoid bone loss such as reduced baseplate back support area and reduced screw number using three-dimensional finite element analysis. MethodsComputerized tomography images of a healthy shoulder were selected and segmented to obtain the solid geometry. Solid models were generated with 100%, 75%, 67%, 50%, and 25% glenoid baseplate back support. With these geometries, two groups of finite element models were then built. In the bone loss areas, screws were maintained in one group of models but were removed in the other group of models. 750N compressive loading was applied along the direction parallel to the scapula axis. Maximum von Mises stress and maximum micromotion between the bone and implant were recorded and evaluated for each glenoid bone model. ResultsIn the group of models where all screws remained in place, the maximum stress and maximum micromotion between the bone and implant exhibited minimal variation. The maximum stresses were 21.10MPa and the maximum micromotions were between 2-3 μm. However, in the group of models removing screws in the bone loss areas, maximum stress increased from 20MPa to 45MPa and maximum micromotion increased from 2 μm to 85 μm as the backside support area decreased from 100% to 25%. DiscussionIn conclusion, this three-dimensional finite element analysis study demonstrates that initial fixation can be achieved with approximately 1/3 posterior glenoid bone deficiency even without screw placement in the area of bone loss. Glenoid bone loss affects baseplate fixation mainly by reducing the screw numbers for fixation. If screws can be placed in the bone loss area, the decreased baseplate back support area will not result in increased stresses or micromotion leading to baseplate failure. This study suggests that surgeons should consider applying screws to the bone loss area if the remaining bone is able to hold the screw.

A prospective study: Advances in chaotic characteristics of serum Raman spectroscopy in the field of assisted diagnosis of disease

Chaos theory is an important branch of mathematics and its theory has been widely applied in many fields such as physics and medicine. Based on existing spectroscopic techniques, this paper used chaos theory as a research method for nonlinear time series to analyze Raman spectral time domain curves in order to improve the performance of disease diagnostic models and explore a new paradigm of spectroscopic technology for intelligent assisted disease diagnosis. We quantitatively identified the chaotic characteristics of time domain Raman spectra by three methods, extracted chaotic features such as correlation dimension and Kolmogorov entropy, and used the chaotic features as input to Extreme Learning Machine (ELM), Back Propagation Neural Network (BPNN), K-Nearest Neighbor (KNN) and Support Vector Machine (SVM) to diagnose patients with lung cancer (LC), glioma, renal cell carcinoma (RCC) and esophageal cancer (EC). The Raman spectra were also analyzed by traditional spectral feature extraction & modelling method, and the results of traditional spectral feature extraction & modelling method and chaotic feature modelling method were compared. The experimental results showed that the extraction of effective chaotic features in the full spectral range could achieve comparable diagnostic results with the traditional spectral feature extraction & modelling method. To further validate the effectiveness of chaos theory in Raman spectral data, the full spectrum was divided into three consecutive subsequences of 500–1000, 1000–1500, and 1500–2000 cm−1, and the above experimental steps were repeated respectively, and the results of the traditional spectral feature extraction & modelling method and chaotic feature modelling were compared. The results showed that as the spectral range was split into consecutive subsequences, the diagnostic performance of the chaotic features in each subsequence performed better than that of conventional spectral analysis techniques. In this study, the technique bridges the gap in the application of chaotic signals to Raman spectroscopy techniques, focuses on global features in the time domain profile of Raman spectra, and demonstrates the significant value of chaos theory in artificial intelligence-assisted spectroscopic medical diagnosis.

Prevalence of De-Quervain’s Tenosynovitis in Tailors of Multan (Punjab)

Purpose: De Quervain's Tenosynovitis is inflammation of extensor pollicis brevis and abductor pollicis longus tendons that run from the side of the wrist to the base of the thumb. To see the frequency of De Quervain’s Tenosynovitis and work related risk factors in tailors of Multan, Pakistan&#x0D; Methodology: It was a cross-sectional study. Sample size of the research was 246. Study was conducted at the city of Pakistan, Multan. Inclusion criteria of the study were tailors of age between twenty to fifty years having experience of more than 3 years. Data was collected to the selected population, through convenient sampling technique. Duration of the study was 8 months. Outcome measures of the study were Finkelstein test, Visual analogue scale and a structured questionnaire. The collected data was analyzed by using SPSS version 25.&#x0D; Findings: Out of 246 participants, 72.3% were males and 27.6% were females. Prevalence of De Quervain's Tenosynovitis was found to be 64% in tailors of Multan through Finkelstein test. 25.6% of the participants had moderate, while 22.3% had extreme discomfort in lower back. 35.3% reported to have mild discomfort in arms. 52.4% had mild to moderate discomfort in wrist or hand. 19.91% reported not to have an enough space for work. 44.30% did not have adjustable chairs. 69.91% reported to have no back rest while sewing, 63% reported unavailability of foot rest and 64.63% had no arm rest while sewing.&#x0D; Recommendations: De Quervain’s Tenosynovitis is prevalent in tailors of Multan, Pakistan. Work-related discomfort was found in various regions of body including eyes, neck, shoulders, arms, wrist and hand. Chairs with no adjustable height, unavailability of arm and foot rest and no back support were associated work related risk factors in tailors.

Water Abundance Evaluation of Aquifer Using GA-SVR-BP: A Case Study in the Hongliulin Coal Mine, China

At present, coal accounts for more than 56% of China’s primary energy consumption and will continue to dominate for a long time in the future. With the continuous expansion of the mining intensity and scale of Jurassic coal resources in Northwestern China, the problem of mine roof water disasters is becoming increasingly serious. The degree of harm is related to the hydrogeological structure of the overlying strata of the coal seam. Reasonable and effective prediction and evaluation of the water abundance of the coal seam roof aquifer is conducive to making scientific decisions on the prevention and control of roof water disasters, so as to achieve safe mining. In order to solve the problem of water abundance evaluation in mining areas lacking hydrological holes, taking the Hongliulin coal mine in Shennan mining area as an example, four main control factors for water abundance were selected: sandstone thickness, core recovery ratio, brittle rock thickness ratio, and flushing fluid consumption. Combined with unit water inflow and multiple factor comprehensive analysis, a back propagation (BP) artificial neural network and support vector machine regression (SVR) were introduced into water abundance evaluation. The reciprocal variance method was used to predict the measured unit water inflow. Finally, according to the “Detailed Rules for Coal Mine Water Prevention and Control”, the water abundance of aquifers was classified to verify the accuracy of the model and partition the water abundance of the study area. The results indicate that, based on the predicted results of unit water inflow, out of 37 borehole data, 22 weak water abundance holes and 15 medium water abundance holes were evaluated correctly, verifying their applicability. The study area was generally weak in water abundance, with two grades of medium and weak. The medium water abundance area was mainly located in the north and south of the study area, and the weak water abundance area was mainly located in the east and west. It can be seen that this evaluation model has certain applicability for evaluating the water abundance of coal seam roofs. It is of great significance, especially for the evaluation of water abundance in mining areas where hydrological holes are lacking.